Computational methods and systems for counseling, diagnostic assessment, and financial planning

Abstract

This invention relates to a method and computing system for obtaining a treatment plan for a user. The method includes the steps of: receiving multiple general input data from a given user on a computing platform; generating a treatment identifier code from the multiple general input data; collecting multiple consultation data related to the user; scanning at least a portion of the user on the computing platform; and generating a treatment plan from the scan of at least a portion of the user. The invention also relates to a system and computing platform consistent with the method.

Description

Technical Field

[0001] This invention relates to a method and computational system for supporting consultation, diagnostic assessment, and budgeting (financial planning). More specifically, it relates to a method and system in which a specific treatment plan is provided to a user based on user interaction with a computational platform. An apparatus capable of performing the proposed method is also proposed. Background Technology

[0002] Treatment plans involving specific users are being generated more and more frequently. As an example, treatment plans may involve cosmetic and / or health treatments that must be performed by a specific user. A user should be understood as, for example, a specific patient, a healthcare professional, or anyone capable of interacting with the computing platform.

[0003] Several existing challenges stem from the increasing number of non-medical professionals being authorized to perform procedures previously reserved for physicians, such as cosmetic and wellness treatments and obtaining appropriate and personalized treatment plans for users. The uncontrolled growth of unqualified professionals from various healthcare sectors, as well as companies offering cosmetic products including minimally invasive procedures, is questioning the ability of regulators to provide adequate guidance and oversight of processes from considering a patient for a procedure to completing treatment and long-term follow-up.

[0004] For example, one of the challenges found in existing technologies is the difficulty of interaction between medical professionals or qualified healthcare professionals and users, whether due to factors such as distance, schedules, language, cost, etc.

[0005] In one example, the user must go to the clinic of a doctor or healthcare professional, and in some cases, this action may not be easy or simple for the user to perform.

[0006] Furthermore, in many cases, given that the diagnoses received by users often vary depending on the experience, or even lack of experience, of the professionals who will instruct on treatment, this can lead to complications and unnatural outcomes, namely user dissatisfaction. It is also difficult for physicians or healthcare professionals to fully identify what the best treatment plan should be provided to a given user.

[0007] For example, the difficulty lies in identifying the exact location where a given substance should be applied and the manner (method) of application. An additional difficulty is the lack of available information in medical records; therefore, neither doctors or qualified healthcare professionals, nor the user, are aware of the history of treatment plans generated for that user, especially in cosmetic procedures. Consequently, the lack of organized and controlled information negatively impacts the treatments performed and future treatments.

[0008] Furthermore, a comprehensive and specialized consultation should be conducted by a physician or qualified healthcare professional, appropriate assessments should be performed, and costs associated with the treatment plan to be generated should be provided; in other words, healthcare professionals assume a commercial role, thereby distancing themselves from the primary role they play within the healthcare sector. This fact ultimately creates a distortion in service delivery and provision that has the potential to prioritize economic interests over the well-being and health of the user.

[0009] The challenges encountered in existing technologies are not limited to users and medical professionals (or healthcare professionals).

[0010] These challenges also extend to manufacturers of various products, including aesthetic products such as injectable substances, suspension wires, various laser machines, ultrasound, radio frequency (etc.), local products, etc.

[0011] In cases of unsatisfactory outcomes and minor to serious complications, a lack of organized and consistent control over a user's medical records can lead to conflicts among the parties involved, such as healthcare professionals, users, and companies, often without knowing which procedure or specific substance was administered to the user or which healthcare professional was responsible for its administration. This invention overcomes these problems, for example, by allowing for better organization and control of information associated with the user.

[0012] Furthermore, despite numerous training sessions for healthcare professionals, cosmetic procedures, including the administration of injectable substances, can be performed inappropriately, ultimately proving detrimental to all parties involved—whether the user receives ineffective treatment or the medical or healthcare professionals and manufacturing companies whose reputations are damaged. This invention will also facilitate the education, support, and training of professionals involved in the process.

[0013] Therefore, manufacturing companies have no idea how the substances they have developed are being injected, or even how their products or equipment are being used, whether due to a lack of structured training or even inadequate documentation.

[0014] This invention overcomes these and several other problems found in the prior art related to various cosmetic treatments by proposing a method and computational system for consultation, diagnostic assessment, and budgeting.

[0015] Furthermore, based on the teachings of this invention, it is possible to provide legal support and assistance to regulatory agencies that will require structured and organized platforms to promote balanced and sustainable growth in the healthcare sector, including aesthetics, which has shown uncontrolled exponential growth and can cause harm to users that is often irreparable.

[0016] As will be better understood from the following description, the methods and systems are based on user interaction with a computing platform, allowing user interaction with the platform to occur with or without the presence of a physician or qualified healthcare professional. Therefore, suggested treatment plans will be provided to the platform user either through direct interaction with the computing platform or with the assistance of anyone capable of interacting with the computing platform.

[0017] Therefore, with the present invention, in the initial stage of care, there is no special need for user interaction with medical or healthcare professionals, such as for consultation, diagnostic assessment, budgeting, and generating treatment plans, so that medical or healthcare professionals can make selections or suggestions through the system's database if expected by the user.

[0018] There are several advantages derived from the actions and teachings of this invention that can be absorbed by all links in the chain, whether by users (patients), by doctors or healthcare professionals, by companies that manufacture injectables or any products or devices for cosmetic purposes, or even by various existing regulatory agencies that aim to ensure good medical and health practices.

[0019] The purpose of this invention The present invention aims to provide a computer method for consultation, diagnostic assessment and financial planning to obtain treatment plans, organized data management and providing future treatment possibilities (including artificial intelligence) associated with a specific user.

[0020] One of the objectives of this invention is to execute the proposed method via, for example, a computing platform such as a cellular phone, tablet computer, television, kiosk, or an equivalent electronic device that can be created and enabled to interact with a user.

[0021] One of the objectives of this invention is to generate consultations, diagnostic assessments, treatment plans, and budgets (financial treatment) from interactions between users and computing platforms, without requiring medical or healthcare professionals to be involved in these stages.

[0022] The present invention also aims to provide a computational system for consultation, diagnostic assessment, and financial planning, for generating treatment plans associated with specific users.

[0023] One of the objectives of this invention is to provide a computing platform capable of performing the methods described herein. Summary of the Invention

[0024] A computer method for obtaining a user-related treatment plan through consultation, diagnostic assessment, and financial planning is described. The method includes the steps of: receiving multiple general input data from a given user on a computing platform; generating a treatment identifier code from the multiple general input data; collecting multiple consultation data related to the user; scanning at least a portion of the user on the computing platform; and generating a treatment plan from the scan of at least a portion of the user.

[0025] The present invention also describes systems and computing platforms consistent with the proposed method. Attached Figure Description

[0026] The invention will now be described in more detail based on exemplary embodiments shown in the figures. The figures illustrate: Figure 1 This is a representation of one of the steps constituting the method described in this invention, showing a computing platform and receiving general input data, such as identification data, detailed inquiries about past medical history, habits, personal history, medications, surgeries and previous treatments (including cosmetic treatments), and other relevant information about the user's health status; Figure 2 This is a representation of one of the steps constituting the method described in this invention, showing a computing platform and the provision of aesthetic data, including treatment areas of interest to the user; Figure 3 This is a representation of one of the steps as part of the method described in this invention, illustrating a computing platform and the provision of expected emotional and / or social messages as desired by the user; Figure 4 This is a block diagram of the method described in this invention, illustrating the steps for generating a final set of aesthetic data and a final set of emotional data; Figure 5 This is a block diagram of the method described in this invention, illustrating the steps for generating a final set of social data; Figure 6 This is a block diagram of the method described in this invention, illustrating the steps for generating a difficulty index for achieving a result desired by the user. The difficulty index can be obtained, for example, from the user's age, the presence and severity of signs of aging, and other parameters to be determined, for example, after a facial scan. Figure 7 This is a representation of one of the steps as part of the method described in this invention, showing a horizontal scan of the computing platform and the user's portion of the process; Figure 8 This is an additional representation of one of the steps constituting the method described in this invention, showing a horizontal scan of the computing platform and the portion performed by the user; Figure 9This is an additional representation of one of the steps constituting the method described in this invention, showing a horizontal scan of the computing platform and the portion performed by the user; Figure 10 This is an additional representation of one of the steps constituting the method described in this invention, showing a computing platform and a horizontal scan of the user's face performed in a tilted mode; Figure 11 This is an additional representation of one of the steps constituting the method described in this invention, showing a computing platform and a horizontal scan of the user's face performed in landscape mode; Figure 12 This is a representation of one of the steps as part of the method described in this invention, showing the computing platform and the vertical scan of the user portion performed in a frontal mode; Figure 13 This is a representation of one of the steps as part of the method described in this invention, showing a computing platform and a vertical scan of the user portion performed in a tilted mode; Figure 14 This is a representation of one of the steps as part of the method described in this invention, showing a computing platform and a vertical scan of the user's portion performed in landscape mode; Figure 15 This is a representation of one of the steps as part of the method described in this invention, showing a computing platform and the step of performing a horizontal scan of a user's face to generate multiple segments, wherein... Figure 15 (a) The user's face is shown in a front view. Figure 15 (b) The user's face is shown in an oblique view, and Figure 15 (c) The user's face is shown in the side view; Figure 16 This is a representation of one of the steps as part of the method described in this invention, illustrating a computing platform and the step of performing a vertical scan of the user's face to generate multiple segments, wherein... Figure 16 (a) The user's face is shown in a front view. Figure 16 (b) The user's face is shown in an oblique view, and Figure 16 (c) The user's face is shown in the side view; Figure 17 It is a representation of the steps that correlate a portion of the user's data with the set of virtual emotional and social data; Figure 18 This is a representation of one of the steps constituting the method described in this invention, showing the following steps: comparing portions of the user in a static state with portions of the user in a dynamic state, including various facial expressions, such as smiling, surprise, disappointment, etc. Figure 19This is an additional representation constituting one of the steps of the method described in this invention, showing the step of comparing the user's portion in a static state with that in a dynamic state; Figure 20 This is an additional representation of one of the steps constituting the method described in this invention, showing the step of dividing the user's portion into two halves; Figure 21 This is an additional representation of one of the steps constituting the method described in this invention, illustrating the steps of forming a first representation and a second representation of the user; Figure 22 Additional representations of one of the steps as part of the method described in this invention are shown, illustrating the step of scanning a first and a second representation of the user; Figure 23 This is a representation of one of the steps as part of the method described in this invention, showing the step of vertically scanning the user's second representation; Figure 24 This is a representation of one of the steps as part of the method described in this invention, showing the step of presenting an unfavorable instruction to the user; Figure 25 This is a representation of one of the steps as part of the method described in this invention, showing the step of vertically scanning a typical portion of the user; Figure 26 This is a representation of one of the steps as part of the method described in this invention, showing the step of displaying a negative indication to the user; Figure 27 This is a representation of one of the steps as part of the method described in this invention, showing the step of scanning a portion of the user in a dynamic state; Figure 28 This is an indication of one of the steps that is part of the method described in this invention; Figure 29 This is a representation of one of the steps constituting the method described in this invention, shown in a positive manner ( Figure 29 (a) In an inclined manner ( Figure 29 (b) and in a horizontal manner ( Figure 29 (c) The step of scanning a portion of the user; Figure 30 This is a representation of one of the steps constituting the method described in this invention, shown in a positive manner ( Figure 30 (a) In an inclined manner ( Figure 30 (b) and in a horizontal manner ( Figure 30 (c) The step of scanning a portion of the user; Figure 31 This is a representation of one of the steps constituting the method described in this invention, shown in a positive manner ( Figure 31(a) In an inclined manner ( Figure 31 (b) and in a horizontal manner ( Figure 31 (c) The step of scanning a portion of the user; to Figure 32 This is a representation of one of the steps as part of the method described in this invention, shown in a positive manner ( Figure 32 (a) Inclination method ( Figure 32 (b) and in a horizontal manner ( Figure 32 (c) The step of scanning a portion of the user; Figure 33 This is a representation of one of the steps as part of the method described in this invention, showing a step of scanning a portion of the user in a static state and a dynamic state, wherein... Figure 33 (a) represents static and dynamic states. Figure 33 (b) indicates that the face is divided into multiple quadrants, and Figure 33 (c) Indications of aesthetic markings; Figure 34 This is an additional representation of one of the steps as part of the method described in this invention, illustrating a step of scanning a portion of the user in a static state and a dynamic state, wherein... Figure 34 (a) represents static and dynamic states. Figure 34 (b) indicates that the face is divided into multiple quadrants, and Figure 34 (c) Indications of aesthetic markings; Figure 35 This is an additional representation of one of the steps constituting the method described in this invention, illustrating the step of scanning a portion of the user in a static state and in a dynamic state, wherein Figure 35 (a) indicates the first expression, and Figure 35 (b) indicates a second expression; Figure 36 This is an additional representation of one of the steps constituting the method described in this invention, illustrating the step of segmenting the user's face into multiple tiny segments MS; Figure 37 This is a representation of one of the steps constituting the method described in this invention, showing an example of what is considered an ideal model, wherein Figure 37 (a) shows the division of the model, which is considered ideal, into multiple quadrants, and Figure 37 (b) shows the assignment of the ideal index to each of these quadrants; Figure 38 This is a representation of one of the steps constituting the method described in this invention, showing the step of comparing a portion considered ideal with the user's current portion; Figure 39This is an additional representation of one of the steps constituting the method described in this invention, showing the step of comparing a portion considered ideal with the user's current portion, wherein the portion is divided into multiple quadrants; Figure 40 This is a representation of one of the steps as part of the method described in this invention, showing exemplary steps of monitoring, consideration, and treatment based on the concept of ATP (aging trigger point or senescence trigger point); Figure 41 This is a representation of one of the steps as part of the method described in this invention, showing an exemplary step that indicates at least one treatment code, such that in this case they refer to codes for treating dynamic state expressions; Figure 42 This is a representation of one of the steps as part of the method described in this invention, showing an exemplary step indicating at least one application dose; Figure 43 It is an application of the teachings of this invention to represent a sealed structure, wherein Figure 43 (a) illustrates a seal for general applications, and Figure 43 (b) shows an application seal that includes multiple pieces of information, including the application location (treatment code), product type, layer to be injected, method of product dispensing, and amount to be injected; Figure 44 This is a representation of one of the steps as part of the method proposed in this invention, showing the generation of a treatment plan in tabular form for a given session; Figure 45 This illustrates the steps for associating a treatment plan with an application seal for a given application session; Figure 46 This illustrates the steps for associating a treatment plan with an application seal for a given application session; Figure 47 This illustrates the steps for associating a treatment plan with an application seal for a given application session; Figure 48 This illustrates the steps for associating a treatment plan with an application seal for a given application session; Figure 49 One of the steps, which is part of the method proposed in this invention, is shown, representing the generation of an application chain for a given user; Figure 50 This is a representation of one of the steps as part of the method described in this invention, showing the arrangement of reference lines for evaluating the performed treatment; Figure 51 These are exemplary illustrations of electronic devices capable of absorbing the teachings of this invention; Figure 52 An example of body therapy code is shown; Figure 53 A second example of body healing code is shown; Figure 54 A third example of body healing code is shown; Figure 55 A fourth example of body healing code is shown; Figure 56 This is an example of a graphical representation generated by artificial intelligence by professionals in the field of aesthetics.

[0027] Figure 57 This is an example of a graphical representation generated by artificial intelligence, demonstrating a multidisciplinary graphical representation.

[0028] Figure 58 This is an example constituting one of the steps of the method described in this invention, representing a simulation of the aging process; Figure 59 This is an example of one of the steps constituting the method described in this invention, illustrating a simulation of possible outcomes by implementing a treatment plan; Figure 60 This is an additional example of one of the steps as part of the method described in this invention, illustrating a simulation of possible outcomes by implementing a treatment plan; Figure 61 This is an additional example constituting one of the steps of the method described in this invention, illustrating a simulation of possible outcomes by implementing a treatment plan; Figure 62 This is a representation of a user who can utilize the teachings of the present invention, wherein the user utilizes an augmented reality device; Figure 63 This is an example of a first instruction that can be perceived through the use of an augmented reality device; Figure 64 This is an example of marking patients who receive a specific application; Figure 65 This is an example of a second instruction that can be perceived through the use of an augmented reality device; Figure 66 This is an example of marking patients who receive a specific application; Figure 67 It is a representation of third instructions that can be perceived through the use of augmented reality devices; Figure 68 It is a representation of the fourth instruction that can be perceived through the use of augmented reality devices; Figure 69 It is a representation of the fifth instruction that can be perceived through the use of augmented reality devices; Figure 70 It is a representation of the sixth instruction that can be perceived through the use of augmented reality devices; Figure 71It is an additional representation of the sixth instruction that can be perceived through the use of augmented reality devices; Figure 72 This is an example of perceptible graphical indications using augmented reality devices; Figure 73 This illustrates a representation of the user's interaction patterns with the computing platform; Figure 74 Additional examples of user interaction with a computing platform are shown, also represented by graphics generated by artificial intelligence, in which case studies are presented to the user; Figure 75 It illustrates representations of additional patterns of user interaction with the computing platform, and demonstrates the relevance of application sealing to case studies; Figure 76 The diagram illustrates additional modes of user interaction with the computing platform, showing a set of instructions arranged in an overlay manner in a case study. Figure 77 The diagram illustrates additional modes of user interaction with the computing platform, showing a set of instructions arranged in an overlay manner in a case study. Figure 78 The diagram illustrates an additional mode of user interaction with the computing platform, showing a test seal generated by the user. Detailed Implementation

[0029] This invention initially describes a method and computational system for consultation, diagnostic assessment, and financial planning (budgeting) related to generating treatment plans for a given user. More specifically, the proposed method provides treatment plans to the user based on the user's interaction with a computational platform 30.

[0030] The computing platform 30 is understood to be any electronic device capable of establishing an internet connection, such as a computer, mobile phone, tablet, smartwatch, television, kiosk, etc. Figure 51 This can be understood as an example of an electronic device that is a computing platform 30. It is also worth noting that the teachings of this invention do not necessarily require that the computing platform 30 be connected to the Internet so that interactions with the user can be performed offline and subsequently uploaded to the platform once the connection is re-established or restarted.

[0031] The proposed computing platform 30 includes a module capable of receiving at least one specific user input data and inserting the input data into the method proposed in this invention; therefore, the computing platform must include an input module 31, wherein the input module 31 can be understood as, for example, a keyboard, a camera, a combination thereof, or any other device capable of receiving data (information) from a user and inserting such data (information) from the user into the method proposed in this invention.

[0032] Then, the method proposed in this invention must be accessed by users through their interaction with the aforementioned computing platform. The manner in which users access the computing platform does not represent an essential aspect of this invention, and therefore any form of access will be perfectly valid, such as access via login, password, and / or facial biometrics.

[0033] For example, in one embodiment, the computing platform 30 may be accessed by a user via an electronic address entered in an internet browser, or alternatively or additionally, via the user's access to a specific application installed on an electronic device (e.g., a television, mobile phone, or tablet).

[0034] User access to the computing platform can be confirmed through pre-registration and by providing a login and password; therefore, when accessing the computing platform, an account associated with the user is created. Thus, it should be understood that the method proposed in this invention includes the step of creating an account associated with the user that allows for the generation of user codes.

[0035] The method proposed in this invention presents the steps of receiving multiple general input data from a given user on a computing platform.

[0036] Therefore, when accessing the computing platform, the user will be prompted to provide multiple general input data, which should be stored, for example, in the memory of the computing platform and / or the method proposed in this invention. It is thus understood that the computing platform includes memory storing a set of instructions that can be executed by a processor. In one embodiment, the memory may be located in a cloud environment or may be configured as the memory of the computing platform itself.

[0037] For general input data, this should be understood as providing data that allows identification of the user's name and basic user information such as nationality, gender, and date of birth. Typically, information contained in the user's passport, their national driver's license, or their national ID card constitutes the data suitable for configuring general input data.

[0038] The aforementioned general input data can be entered into the computing platform in any way, whether by typing, document scanning, document uploading, voice, or a combination of these methods. The manner in which general input data is entered into the computing platform does not represent an essential aspect of this invention; therefore, any form of input is perfectly valid.

[0039] Furthermore, it is proposed that the computing platform incentivizes users through generator blocks to indicate their consent to compliance terms, which may be linked to practices involving data protection, health practices, or any practices associated with a specific country or region.

[0040] therefore, Figure 1A representation of a computing platform (its screen) is shown, illustrating the steps of receiving general input data A and agreeing to comply with terms B.

[0041] Therefore, once the user has provided general input data and established consent to the terms of compliance, the computing platform assesses whether such data has been correctly entered, and in this way the sequence of methods proposed in this invention continues.

[0042] Still Figure 1 Referring to the illustration, the method proposed in this invention includes the step of generating an identifier code for treatment C from multiple general input data. Therefore, it is proposed that the computing platform generate a specific treatment code associated with the user, wherein the aforementioned code can be understood as an identification code for input into a database system to subsequently proceed with proposed steps, such as consultation, diagnostic assessment, and creation of a suggested treatment plan.

[0043] The treatment code can be randomly generated by a computing platform and can consist of, for example, numbers, letters, and combinations thereof. Any form of representation of the treatment code can be used. The way the treatment code is displayed in the discussed figures should not be considered a limiting feature of the invention.

[0044] It should be noted that the aforementioned treatment identification codes should be understood as codes that associate a specific user with consultation data, diagnostic assessments, and financial plans. Therefore, a given user may understand multiple treatment identifier sub-codes associated with that user, as that user may undergo a range of treatments throughout their life.

[0045] Therefore, if a user receives a treatment plan now, a specific treatment code will be generated and associated with the user. If the same user receives a new treatment plan in the future, a new treatment code will be generated and associated with that user. Thus, it's important to understand that each treatment code is associated with a specific date.

[0046] Therefore, it is important to understand that the same user can be associated with a series of treatment identifier subcodes.

[0047] Furthermore and will Figure 1 Using the illustration as a reference, it was observed that the treatment identification code generated for the user is code NH073.562.017.

[0048] Once the treatment identification code is generated, the method described in this paper also proposes a step to collect multiple consultation data related to the user, which is identified using reference D, such as from... Figure 1 What I saw.

[0049] Consultation data should be understood as data (information) typically found in medical records (or health records), and for example, but not limited to, consultation data can be understood as the following: (i) whether the user has any clinical symptoms (diseases), (ii) whether the user has completed their vaccination schedule, (iii) whether the user has recently undergone any dental procedures, (iv) whether the user has any allergies, (v) whether the user is currently taking any medications, (vi) whether the user has undergone any cosmetic procedures, such as facial cosmetic procedures, (vii) whether the user has undergone Botox application, (viii) whether the user has undergone permanent filler application, (ix) whether the user has undergone hyaluronic acid application, (x) whether the user has undergone biostimulants, (xi) whether the user has undergone any type of treatment, (xii) whether the user has ever had any adverse reactions to any type of medication, treatment and / or application, and / or (xiii) past medical history data.

[0050] The consultation data presented in the preceding paragraph should not be considered limiting, allowing for the submission and integration of other consultation data into the methods presented in this invention. Therefore, the description provided is intended to allow for an understanding of the consultation data.

[0051] In an effective embodiment of the invention, information provided by the user to the computing platform 30 can be collected through interaction between the user and a graphical representation of a medical professional (e.g., a graphical representation generated by artificial intelligence).

[0052] Therefore, the graphical representation should be understood as, for example, a representation of the face of a medical professional, including the medical professional's own voice. In this way, all interactions between the user and the computing platform will be conducted through this type of "avatar" (a graphical representation of a doctor generated by artificial intelligence). Furthermore, the aforementioned graphical representation should be understood as a representation of the user's face capable of making expressions (i.e., being given movement), and also includes the voice of a doctor or healthcare professional.

[0053] In this way, it can be understood that the aforementioned graphical representation of speech can be selected, for example, based on the user's preference for a given language.

[0054] Furthermore, the proposal to use graphical representations generated by artificial intelligence becomes beneficial because it provides users with greater confidence in the process of interacting with computing platforms, as users will actually see (observe, perceive) the expressive faces of doctors or healthcare professionals and hear their voices, thus acting as guides in the process of generating treatment plans.

[0055] In an additional embodiment, user interaction with the computing platform can also be performed through user interaction with multiple additional graphical representations 200, 300, 400, 500, 600, 700, 800, 900, and 1000.

[0056] refer to Figure 57 The additional graphical representations 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100, also known as multidisciplinary representations, are designed to assist professionals and users during their interaction with the computing platform.

[0057] Therefore, the multidisciplinary representations 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100, as well as the physician representation 100, must also be generated by artificial intelligence. Furthermore, the multidisciplinary representations 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100 are configured as representations from professionals in different fields, assisting professionals and users during interaction with the computing platform.

[0058] therefore, Figure 57 Examples of representations of multidisciplinary graphical representations 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100, and graphical representations of medical professionals 100.

[0059] In this way, the first multidisciplinary graphical representation 200 can refer, for example, an AI-generated graphical representation by a biomedical professional who is responsible for helping to assess and monitor patients during user interactions with the computing platform.

[0060] On the other hand, the second multidisciplinary graphical representation 300 can refer, for example, a graphical representation generated by artificial intelligence by a teacher, who is responsible for updating both the user and the professional on the latest scientific reports in the field during the interaction between the user and the computing platform.

[0061] The third multidisciplinary graphical representation 400 can refer to, for example, a graphical representation of a nurse generated by artificial intelligence, who is responsible for providing information about pre- and post-treatment care during interactions between the user / professional and the computing platform.

[0062] In addition, the fourth multidisciplinary graphic representation 500 can refer to, for example, a pharmaceutical company that is responsible for sharing important details about the care and storage of injectable products.

[0063] The fifth, multidisciplinary graphical representation 600, can refer to, for example, graphical representations for accounting professionals that can provide guidance on expenses, taxes, and related topics.

[0064] The sixth multidisciplinary graphical representation 700 could refer, for example, to an AI-generated graphical representation of a marketing professional who is responsible for providing tips on promotional strategies to, for example, a manager of a beauty clinic.

[0065] In addition, the seventh multidisciplinary graphic representation 800 can refer to, for example, a product consultant who is responsible for presenting a portfolio of products that can be used to generate treatment plans to users and professionals.

[0066] The eighth multidisciplinary graphical representation 900 can refer to, for example, a business manager who can be responsible for providing guidance on clinic management.

[0067] The ninth multidisciplinary graphic representation 1000, for example, can refer to digital influencers who can help, for example, facilitate work performed by professionals on social media.

[0068] In addition, the tenth multidisciplinary graphical representation 1100 can refer to, for example, a graphical representation of a lawyer generated by artificial intelligence, who is responsible for assisting with legal matters such as consent forms and patient documents.

[0069] It should be noted that the above multidisciplinary graphical representations are not intended to limit the features of the invention, and representations by other professionals / positions would be perfectly acceptable.

[0070] Furthermore, the multidisciplinary graphical representations 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100 can be configured according to the country of residence of the user and / or professional. For example, if a user who has absorbed the teachings of this invention resides in Japan, the lawyer's multidisciplinary graphical representation 1100 will help both the user and the professional handle legal matters specific to that location (Japan).

[0071] Furthermore, it is proposed that each multidisciplinary graphical representation be given a name, wherein such a name contains the letters AI or IA in its naming as an allusion to artificial intelligence, and the multidisciplinary graphical representation is presented to users and / or professionals, for example, via video.

[0072] It is worth noting that all the features discussed for the graphical representation of medical professionals 100 are also valid for multidisciplinary graphical representations 200, 300, 400, 500, 600, 700, 800, 900, 1000 and 1100.

[0073] therefore, Figure 1 This is a non-limiting representation of computing platform 30, illustrating some steps constituting the method proposed in this invention. For example, the steps of receiving general input data A, accepting consent form B, generating treatment identifier code C, and collecting consultation data D are shown.

[0074] The collection of consultation data D can be performed from any database associated with the computing platform, such as from a storage device capable of storing consultation data from multiple users. Therefore, it should be understood that the consultation data is filled in by users and stored in the aforementioned storage device.

[0075] Once the consultation data has been collected, the method described in this invention also proposes a step to assess whether any restrictive data exists in the consultation data related to the user. Restrictive data should be understood as data (information) that provides instructions to the user contrary to obtaining a treatment plan.

[0076] For example, restrictive data can be understood as data indicating whether a user has recently undergone dental procedures, or data indicating that a user has allergies, or data indicating that a user is receiving a certain drug treatment contrary to the instructions for injectable application, or data indicating that a user has a certain response to a previously performed procedure.

[0077] Furthermore, the present invention also proposes to perform the steps of associating restrictive data with the user's treatment identifier code and associating restrictive data with the user's code.

[0078] Therefore, suppose that a user experienced an adverse reaction during a previously performed treatment plan. It is proposed that the occurrence of this undesirable reaction (restrictive data) be associated with the user's treatment identifier code and, more specifically, with the user's identifier code, so that if the user generates a new treatment sub-code in the future, it will be possible to know that restrictive data related to that user occurred in the past. The restrictive data does not prohibit the treatment, but serves as a warning for future clinical evaluation by a physician or qualified healthcare professional.

[0079] Therefore, the present invention includes the steps of assessing whether restrictive data exists in user-related consultation data and assessing whether user-related restrictive data exists.

[0080] If restrictive data is detected, the proposed step is to perform a step such as displaying a perceptible representation to the user on the screen of computing platform 30. This representation can be configured as text, images, auditory representations, and any combination thereof.

[0081] The purpose of publishing a perceptible representation to the user is to warn them about the existence of restrictive data, so that the existence of restrictive data should not necessarily be understood as an obstacle to the continuation of the proposed method.

[0082] Following the description of the teachings of this invention, there is a step of obtaining at least a first set of aesthetic data from the user based on the patient's impulse representation.

[0083] Therefore, it is proposed that the computing platform should incentivize users to provide their initial set of aesthetic data. More specifically, the provision of this initial set of aesthetic data must be achieved through the patient's impulsive expressions. Impulsive expressions can also be understood as subjective expressions, as will be described below.

[0084] The first set of aesthetic data should be understood as a set of aesthetic data for a given user who is interested in treatment; more specifically, the first set of aesthetic data should be understood as areas / parts of the face and / or body that the user is interested in correcting or improving through a treatment plan.

[0085] On the other hand, based on the user's impulsive (subjective) expression, it should be understood that the user must impulsively provide the initial set of aesthetic data to the computing platform 30. More specifically, the user can simply input the initial set of aesthetic data into the computing platform. To this end, the computing platform can, for example, display a text box (input box 31) prompting the user to input the initial set of aesthetic data. The system can also provide a list of areas, parts / sections of the face and / or body, allowing the user to know the potential treatment areas.

[0086] Furthermore, a user's impulsive expression can be understood as the action of activating the optical capturing elements (such as a camera) of the computing platform, and by capturing the user's video, the user will be prompted to provide an initial set of aesthetic data.

[0087] Therefore, the computing platform 30 will, for example, record the user's video by activating the optical capture element and provide an area for the user to input a first set of aesthetic data, prompting the user to provide the first set of aesthetic data. It is further proposed that the user provide the first set of aesthetic data while viewing themselves in the video captured by the camera.

[0088] In one analogy, a user's impulsive behavior can be understood as the user looking at themselves in a mirror, so that the mirror in this case can also refer to the video captured by the user through a computing platform.

[0089] Therefore, to understand this, the step of obtaining at least a first set of aesthetic data from the user's impulsive representation also includes activating the optical capture element of the computing platform and capturing the user's video, thereby motivating the user to provide the first set of aesthetic data. More specifically, the user evaluates the video and provides the first set of aesthetic data.

[0090] Furthermore, the method described in this invention also includes the step of obtaining at least one second set of aesthetic user data from the user's graphical representation. The graphical representation should be understood as a photograph of the user.

[0091] Therefore, the method proposed in this invention encourages users to evaluate their own photos through a computing platform and input a second set of aesthetic data based on the evaluation. The evaluation can be performed by uploading the user's photo to the computing platform or by capturing the user's photo using the optical capturing element of the computing platform 30 itself.

[0092] Therefore, to understand the step of obtaining at least one second set of aesthetic data from a user's graphical representation, it also includes the step of obtaining the second set of aesthetic data through the user's analysis of their own photographs. More specifically, users evaluate their photographs and provide the second set of aesthetic data. The graphical representation can also be understood as the user's objective representation, since the user evaluates their photographs and objectively provides the second set of aesthetic data.

[0093] Figure 2 This is a diagram illustrating the computational platform used to obtain the first and second sets of aesthetic data, as previously discussed.

[0094] As referenced above Figure 2 The assessment can be performed using a mirror, photograph, camera, or any other equivalent device. The system will identify any consistency between the user's desired requests while looking in the mirror and the photographs taken during the consultation. The system is also configured to help the user prioritize treatment areas, highlight inconsistencies, and serve as an educational method regarding the user's subjective self-evaluation.

[0095] Will Figure 2 For reference, the first set of aesthetic data obtained from impulse representation can be considered as the following aesthetic data: 1. upper eyelid; 2. forehead line; 3. nasolabial fold. The second set of aesthetic data obtained from the user's graphic representation can be understood as 1. upper eyelid; 2. nasolabial fold; and 3. temple.

[0096] Furthermore, it is worth noting that the aesthetic data initially provided by users (or first presented in the aesthetic dataset list) can be understood as the most relevant aesthetic data, i.e., the aesthetic data that users are most interested in / most want to treat. Figure 2 In the context of representation, aesthetic data about the upper eyelid can be understood as the most relevant data for both impulsive (subjective) feedback and graphic (objective) feedback.

[0097] Once the first and second sets of aesthetic data are obtained, the method described in this paper proposes a step in the comparator module to evaluate whether there is consistency between each aesthetic data point from the first set of aesthetic data and the second set of aesthetic data.

[0098] Therefore, in a comparator block, which is understood as a processor, microprocessor, or any element capable of performing comparisons between data, the consistency between the first set of aesthetic data and the second set of aesthetic data will be evaluated.

[0099] More specifically, it will be evaluated whether the aesthetic data in the first set of aesthetic data is the same as that in the second set of aesthetic data. Even more specifically, it will be evaluated whether the aesthetic data provided by the user in impulsive feedback (impulse representation) is the same as that provided by the user in graphical feedback (graphical representation). Even more specifically, considering the first and second sets of aesthetic data, it will be evaluated whether the order in which the aesthetic data is provided is the same.

[0100] exist Figure 2 In the exemplary illustration, when evaluating the first aesthetic data of the impulse representation (mirror) and the first aesthetic data of the graphic representation (photograph), the comparator block will detect consistency because such aesthetic data is the same (upper eyelid).

[0101] Inconsistencies will be detected when comparing the second aesthetic data represented by impulse with the second aesthetic data represented by graphics, because the data involves the forehead line returned by impulse and the nasolabial fold in the graphic representation. Similarly, inconsistencies will also be detected when comparing the third aesthetic data represented by impulse with the third aesthetic data represented by graphics.

[0102] exist Figure 2 In the representation, an inconsistency exists in the comparison indication; in this case, it is proposed to perform the step of issuing a perceptible indication to the user. More specifically, the computing platform must notify / warn the user that an inconsistency has been detected because the aesthetic data provided by the user in the impulsive response does not match the aesthetic data provided by the user from the graphical representation. The indication of inconsistency is in Figure 2 The middle step E is shown Furthermore, in the event of inconsistencies, the computing platform will prompt the user to input a final set of aesthetic data. This final set of aesthetic data should be understood as the aesthetic data the user actually desires for treatment. More specifically, the computing platform identifies inconsistencies between the first and second sets of aesthetic data, and reports these inconsistencies to the user.

[0103] Therefore, users who are aware of detected inconsistencies must inform the computing platform which aesthetic data should actually be considered; in other words, users must provide a final set of aesthetic data. In the absence of consistency, the system will determine the information obtained from photo analysis as the final option because it is less subjective.

[0104] The user-perceptible representation can be configured as text, video, audio, or color representation, as well as combinations thereof. It is important to note that the manner in which the representation is perceptible to the user does not represent an essential aspect of the invention.

[0105] If consistency is detected by the comparator block, that is, if there is consistency between the first set of aesthetic data and the second set of aesthetic data, it is proposed that the user also receive a perceptible representation indicating that the consistency has been detected, and it is also proposed to perform the step of converting the first set of aesthetic data and the second set of aesthetic data into a final set of aesthetic data.

[0106] Therefore, based on the steps discussed above, the method proposed in this invention motivates (prompts) the user through a computational platform to indicate which aesthetic data should be addressed in the treatment plan. More specifically, as previously described, by obtaining aesthetic data via impulsive (subjective) and graphical (objective) representations, the method enhances the motivation of the user, thereby aiming to assess whether the user is fully certain and confident about which aesthetic data should be considered in the treatment plan.

[0107] In this sense, what often happens is that users seem completely convinced that a part of their body and / or face (e.g., a given aesthetic feature) requires aesthetic treatment. However, when the aforementioned aesthetic treatment is performed on the given aesthetic data in question, the user's dissatisfaction with that particular aesthetic data persists. That is, the user seems completely convinced that the treatment of that aesthetic data will be beneficial to them; however, after the treatment is performed, the user's dissatisfaction remains.

[0108] This is one of the reasons why it becomes important to incentivize users to provide aesthetic data from different representations (such as from impulse representations and graphic representations as mentioned earlier). In this way, the treatment plan provided to the user becomes more definitive.

[0109] In order to further improve the accuracy of the treatment plans provided to users, the method described in this invention also proposes the steps of obtaining a first set of emotional (and / or social) data (messages) from the user based on a first set of aesthetic data and obtaining a second set of emotional (and / or social) data from the user based on a second set of aesthetic data.

[0110] More specifically, it should be understood that the first and second sets of aesthetic data refer to specific parts of the face and / or body that the user wishes to treat. Figure 2 In this context, these areas are indicated as the eyelids, forehead, nasolabial folds (nose / mouth), and temples. In other words, such aesthetic data should be understood as anatomical data indicating specific areas of the user's face.

[0111] On the other hand, emotional and / or social data / messages seek broader motivations from users than aesthetic data. That is, if users indicate a specific part of the face they wish to treat when providing aesthetic data, they will provide reasons why they wish to address that specific aesthetic data when providing emotional data / messages.

[0112] More specifically, users must indicate the reasons why they chose to process that particular aesthetic data; that is, users should explain why they want to process that particular aesthetic data.

[0113] Therefore, and now refer to Figure 3 The exemplary representation should note that the first set of sentiment data provided by the user refers to the following sentiment data: (i) a more attractive appearance, (ii) a less tired appearance, and (iii) a more defined appearance (contouring enhancement).

[0114] Similarly, the second set of sentiment data / messages provided by the user refers to the following sentiment data: (i) more attractive, (ii) less tired, and (iii) enhanced profile.

[0115] Therefore, this means that users want to treat their upper eyelids, forehead line, and nasolabial folds to appear more attractive, less tired, and more defined. In other words, at this stage of the proposed method, a correlation emerges between impulse analysis and graphic analysis within a set of data / emotional messages, which was not observed in previous studies on aesthetic data.

[0116] However, simply treating the user by specifying the aesthetic data (areas / parts of the face and / or body) they wish to address, such as the upper eyelids to look more attractive, the nasolabial folds to look less tired, and the temples to enhance facial contours, will not necessarily achieve the goals of emotional data / messages, which will require broader facial and / or body treatment. Therefore, the methods and systems described in this invention can specify additional treatment areas / parts to achieve the user's desired results.

[0117] Furthermore, as proposed when obtaining the set of aesthetic data, it is also proposed to include a step in the comparator module to evaluate whether there is consistency between each emotional data point from the first set of emotional data and each emotional data point from the second set of emotional data.

[0118] based on Figure 3 In the example, consistency was detected because sentiment data 1 to 3 from the first set of sentiment data were the same as sentiment data 1 to 3 from the second set of sentiment data.

[0119] Therefore, once consistency is detected, a perceptible representation is provided to the user, such as in Figure 3 As shown in step E. Furthermore, once consistency has been detected, it is proposed to convert the first and second sets of sentiment data into a final set of sentiment data.

[0120] Alternatively, if no consistency is detected, a further step is proposed: prompting the user to input a final set of sentiment data via the computing platform. Therefore, the user will be alerted about the detected inconsistency through a perceptible indication, and subsequently prompted to provide the final set of sentiment data. The handling of unfavorable or negative information will be given priority.

[0121] Therefore, based on the previously provided description and Figure 2 and 3 In the diagram and still based on Figure 4 The diagram will yield a final set of aesthetic data and a final set of emotional data. The proposal is to store this final set of aesthetic and emotional data on a computing platform, allowing it to be considered for future treatment plan generation. The diagnostic assessment performed by the system will help prioritize the areas and messages to be addressed, ensuring that the system-generated assessment differs from user-instructed assessments, as user assessments may present distorted evaluations based on their own perceptions. For example, requesting overtreatment might worsen your appearance rather than improve it. Users will be warned of this possibility.

[0122] In addition to sentiment data, this computer method will also enable steps to obtain multiple positive social data (advantageous) related to a user and multiple negative social data (disadvantageous) related to a user's appearance from social blocks.

[0123] Positive social data is understood as the appearance a user wants to project in terms of social aspects. For example, positive social data can be understood as: confident, caring, and friendly. In this case, if a user's profession is a nurse, such positive social data may already be provided; therefore, the user will want to project a more confident, caring, and friendly image.

[0124] The proposed approach involves eight positive and eight negative social data points, requiring users to provide a certain amount of both to continue the method. For example, when analyzing graphic data (photos), users would provide negative social data related to what they want to correct or improve in their appearance, and positive social data about their appearance would be determined to convey after treatment.

[0125] For example, positive social data can be perceived as: a more trustworthy, confident, determined, friendly, kind, positive, well-mannered, and optimistic appearance. Negative social data can be perceived as: an untrustworthy, insecure, vulnerable, antisocial, apathetic, discouraged, inexperienced, and pessimistic appearance.

[0126] Once positive and negative social data are obtained, the next step is to combine multiple sets of positive and negative social data into a final set of social data, such as from... Figure 5 What I saw in the video.

[0127] Therefore, based on Figures 3 to 6 The diagram illustrates that the output of the method will be a final set of aesthetic data, a final set of emotional data, and a final set of social data. This data will be used later to analyze the feasibility of delivering the expected results. The treatment plan will prioritize addressing the user's negative emotional messages regarding their appearance.

[0128] Furthermore, and still refer to Figure 6 The methods and systems described in this invention also include the step of generating a difficulty index based at least on an evaluation of a final set of aesthetic data, a final set of emotional data, and a final set of social data. More specifically, the difficulty index can be understood as a score indicating to the user and the applicant the existing difficulty of applying the treatment plan, which is being generated based on the final set of aesthetic, emotional, and social data.

[0129] It should be noted that in order to generate a difficulty index, at least the content of the user's general input data must also be considered, such as their age. Therefore, under the assumption that older users or those with significant asymmetry tend to generate a higher difficulty index, it is reasonable to assume that older users or those with significant asymmetry will receive a higher score.

[0130] It should be noted that any data previously provided by the user, such as consultation data, can be considered for generating the difficulty index. Furthermore, it should be noted that, preferably but not limited to, the difficulty index should be generated after scanning the user's face.

[0131] The proposal is to display the difficulty index to the user via a computing platform. Therefore, if the computing platform is understood to be a computer, tablet, mobile phone, or television, the aforementioned difficulty index will be displayed on the screen of that computing platform.

[0132] The difficulty index can be understood as a number, such as a numbering system starting from 0 and going up to 100, so that a difficulty index with a maximum value of 100 indicates that the difficulty of implementing the treatment plan is at its maximum.

[0133] Alternatively or additionally, the difficulty index can be configured to be represented by text and color, such that in this case, the difficulty index can be represented by arranging the text "low," "medium," and "high." Furthermore, such text can be displayed in certain colors on the computing platform's screen; for example, the difficulty index "low" can be displayed in green, the difficulty index "medium" in yellow, and the difficulty index "high" in red.

[0134] Any form of representation and generation of the difficulty index, such as video, text, animation, color, and combinations thereof, will be acceptable.

[0135] The proposal is that the difficulty index should also be generated from user scans, such as... Figure 6 As further illustrated below. Therefore, it should be understood that the method proposed in this invention includes the step of scanning (or any other form of graphic or digital analysis, such as analysis of photographs and / or videos) at least a portion of a user on a computing platform. A portion of the user can be understood as, but is not limited to, the user's face.

[0136] Therefore, the user's portion of the scan will be performed via the computing platform. For this, the input block 31 of the computing platform, such as the platform's camera, must be activated.

[0137] The step of scanning at least a portion of the user through the computing platform also includes scanning said portion of the user in both horizontal and vertical directions, and also taking into account the user's frontal portion, tilted portion, and contour portion.

[0138] Figure 7 It is a representation of the computing platform that instructs the execution of the user's portion of the horizontal scan steps, wherein in Figure 7 The horizontal scan line is indicated by digital reference 10. Therefore, the horizontal scan line 10 will cover the entire height of the user's portion at least once. Figure 8 and 9 The movement of horizontal scan lines 10 across a user's face is illustrated. In one embodiment, it is proposed that the user's face be segmented into multiple quadrants, and that a specific index (value) be assigned to each of the multiple quadrants as a scan occurs.

[0139] Therefore, it is proposed to consider the positive aspects of the user ( Figure 7 ), inclined part ( Figure 10 ) and a portion of the user profile ( Figure 11 This involves performing a horizontal scan of the user. Scans can be performed using graphical data (photographs) of the user at rest and with various facial expressions. Video capture can also be considered for assessing the user's dynamic state.

[0140] Similarly, in addition to scanning via horizontal scan line 10, the described method proposes to also perform a vertical scan by the user, i.e., scanning via vertical scan line 11.

[0141] Therefore, it is necessary to distinguish them as follows: Figure 12 , 13 A vertical scan of the user is performed in the front view, oblique view, and outline view shown in 14. Similarly, the user's face can be segmented into multiple quadrants, and an index (value) can then be assigned to these quadrants as the scan occurs.

[0142] In addition to the above-described and Figures 7 to 14In addition to the scanning shown, the step of scanning the user portion also includes segmenting the user portion into multiple fragments. Therefore, the computing platform will generate multiple slices within the user portion and from both horizontal and vertical scans.

[0143] In this way and now for reference Figure 15 The computing platform will segment the user's portion into multiple fragments from scans of the frontal, oblique, and contour areas. Therefore, in Figure 15 In the middle, data is generated from vertical scan lines 11 for scanning the front, oblique, and side portions (as shown in the figures below). Figure 15 The segments shown in (a), (b) and (c).

[0144] Similarly, the computing platform will also generate multiple segments from the scan passing through horizontal scan line 10, such as Figure 16 As shown. Therefore, as Figure 16 As shown in (a), 16(b) and 16(c), segments are provided for scanning the front, oblique and side portions.

[0145] The method described in this invention also includes the step of scanning a portion of the user and associating it with at least one of a plurality of virtual positive social data, a plurality of virtual negative social data, and a set of virtual emotional data.

[0146] Virtual data should be understood as data generated by the computing platform itself, rather than data provided by the user.

[0147] For example, in reference Figure 3 The description states that the emotional data shown in the image was provided by the user, meaning that these are the user's own expressed desires.

[0148] On the other hand, virtual emotional data should be understood as emotional data evaluated (generated) by the computing platform itself. That is, the computing platform will determine, based on facial scanning, which emotional data should be considered for that user. In other words, the computing platform will assess the user's needs by scanning their face, such as having an appearance that is not too tired, not too sad, not too angry, or not too sagging.

[0149] Therefore, virtual data should be understood as data (indicators) generated by the computing platform itself from the scan of the user's face.

[0150] Will Figure 17 As illustrated in the diagram, it can be understood that the step of associating a portion of a user's data with a set of users' virtual emotional data also includes the step of scanning a portion of the user and identifying the virtual emotional dataset associated with that user.

[0151] Therefore, in Figure 17In this process, the user's face is scanned, for example, through horizontal scan lines 10, and a virtual emotion dataset is subsequently determined. More specifically, determining the virtual emotion dataset indicates which emotional data should be considered in the treatment plan generated for that user.

[0152] Therefore, for each virtual emotional / social data point, an alert will be generated to prioritize the correction of adverse emotional and social messages to be considered in the treatment plan.

[0153] In this way, it can be understood that the computing platform will include a set of virtual emotional / social data previously stored in its memory, such that for each of these data and based on a scan of the user's face, a correction instruction will be generated.

[0154] In one embodiment of the invention, at least the following virtual emotion datasets should be stored on the computing platform: "Looks not too tired," "Looks not too sad," "Looks not too angry," and "Looks not too depressed," etc. Therefore, for each of these datasets, an instruction must be generated to alert the user that action is needed.

[0155] therefore, Figure 17 The steps for performing a user's facial scan are shown, and the computing platform indicates from the suggestions (warning instructions) that the user in question should have an appearance that is not too tired, not too sad, not too angry, and not too sagging.

[0156] Therefore, the system recommends that patients should have an appearance that is not too tired, not too sad, not too angry, and not too sagging, so that... Figure 17 As shown in the exemplary embodiment, the computing platform generates alert indications for all considered virtual emotion data. It is worth noting that, as... Figure 17 The illustrations and representations of the warning instructions shown should be considered merely as exemplary representations, that is, they should not constitute any limitation on the scope of protection of this invention.

[0157] Alert indications have been generated from the virtual emotion dataset. As an example, it is proposed that the computing platform generate a priority list for the virtual emotion data under consideration. In this embodiment, the priority list may include the following virtual emotion data: appearing not too tired, appearing not too sad, appearing not too angry, and appearing not too weak. As stated above, for each virtual emotion data under consideration, an alert indication must be issued using the methods and systems described in this invention.

[0158] Continuing to describe the method proposed in this invention, the computer method for obtaining a treatment plan related to a user further includes the step of performing a dynamic state scan of the user via a computing platform, wherein the step of performing the dynamic state scan of the user further includes the step of comparing portions of the user in a static state and in a dynamic state.

[0159] In this way, the computing platform scans a portion of the user in two different states through its processing unit, the first state being understood as a static state and the second state as a dynamic state.

[0160] Therefore, with Figure 18 As a reference, the user's face is scanned in static state X and dynamic state Y, and the two scans are compared to generate aesthetic indicators that can assume a treated and untreated state. Figure 18 In this process, aesthetic signals are generated to encourage the user to smile. Therefore, the methods and systems described in this invention determine whether, during various facial expressions (dynamic states), the user exhibits an improvement (upgrade) or deterioration (downgrade) in their overall facial contours, or whether they remain equivalent on a pre-established scale. For example, the pre-established scale can be a scale represented by an index ranging from 0 to 10, where, for example, index 0 represents the worst possible aesthetic condition, while index 10 represents the ideal aesthetic condition for age, gender, race, and other factors. For example, the index can be assigned by segmenting the face into multiple quadrants.

[0161] More specifically, the computing platform compares the user's parts in static state X and dynamic state Y and determines whether there is aesthetic improvement (non-priority processing state), aesthetic deterioration (processing state), or whether it remains equivalent (a state to be considered in processing, but not a priority state).

[0162] If the aesthetic indicator assumes a treatment state (or a state to be considered in the treatment), it further proposes the step of generating at least one treatment code to be considered in the user's treatment plan.

[0163] To generate aesthetic indicators, it is proposed that when scanning a portion of the user's data in a static state X, the computing platform will generate a static index. Similarly, when scanning a portion of the user's data in a dynamic state Y, the computing platform will generate a dynamic index. In summary, the static and dynamic indices can be understood as values, or numbers, representing the states of the dynamic and static indices, respectively.

[0164] Therefore, once the aforementioned static state and dynamic index are generated, a comparison is performed between them, and then it is evaluated whether there is a positive aesthetic change (upgrade), a negative aesthetic change (downgrade), or whether equivalence has been maintained. This comparison can be performed globally, that is, over the user's entire face, or it can be performed by individual segments of the user's face (by quadrant).

[0165] Therefore, if a negative aesthetic change (demotion) is detected, the aesthetic indicator should be assigned a treatment state, and if a positive aesthetic change (upgrade) is detected, the aesthetic indicator should be assigned a non-treatment priority state.

[0166] In one example and based on Figure 19 The illustration shows that a static state scan of user X generates a static index with a value of 5, while a dynamic state scan of user Y generates a dynamic index with a value of 4. Therefore, the executed comparison indicator has been downgraded, i.e., a negative aesthetic change, necessitating the assignment of a treatment state to the aesthetic indicator in this case. If a loss in the comparison value is observed, the treatment indicator is referred to as "correction"; if the value remains unchanged or increases, the indicator represents prevention or enhancement of the site / area / message in question.

[0167] In one embodiment, and as will be described in more detail below, the comparison between static state X and dynamic state Y can be performed by segmenting the user's face into multiple quadrants. Therefore, for both static state X and dynamic state Y, the user's face must be segmented into multiple quadrants. Therefore, it is possible to assign an index (value) to each of these quadrants (or to a set of quadrants) in the static state X, and then compare it with its corresponding quadrant (or the corresponding set of quadrants) in the dynamic state X. In this way, by comparing the indices, it is possible to determine whether there is a positive, negative, or equivalent aesthetic change.

[0168] Further reference Figure 20 As illustrated in the diagram, the method proposed in this invention further includes the step of mirroring at least a portion of the user and comparing a first mirror image of the user with a second mirror image of the user.

[0169] More specifically, it is proposed to vertically divide the user's part, in this case their face, into two halves, namely the left half LH and the right half RH, as shown below. Figure 20 As shown in the diagram. Subsequently, the steps of forming the user's first representation from the left half LH and the user's second representation from the right half RH must be performed.

[0170] In other words, the user's face should be formed by two left halves (LH) and two right halves (RH). For this to be possible, the left and right halves must be mirror images to allow for the correct formation of the face.

[0171] therefore, Figure 21 The first and second representations of the user are shown, wherein the first FR representation of the face is formed by two right halves of RH (also known as 2×RH), and the second SR representation of the face is formed by two left halves of LH (also known as 2×LH).

[0172] Then and now refer to Figure 22 The following steps are performed: scan the first representation FR and scan the second representation SR, and identify which representation is more aesthetically pleasing (if any), thereby determining the final representation.

[0173] In other words, one of the representations, FR and SR, can be selected from the scans to make the chosen representation more aesthetically pleasing. If both FR and SR are discarded, it is possible to continue with the user's current representation, which is formed by their left and right halves. In this case, the user's face can be segmented into multiple quadrants as previously described.

[0174] If the first representation FR or the second representation SR is selected, the representation can be used as a benchmark, i.e. a standard, such as a user portion that is considered ideal or suitable for the user in question.

[0175] The purpose of the scanning steps for the user's first representation (FR) and second representation (SR) is to assess the existence of facial symmetry based on these representations. Therefore, the first representation (FR) is initially compared with the second representation (SR), and then it is determined which representation presents the user's face in a more symmetrical manner. For this purpose, a horizontal scan of each of these representations is proposed, such as... Figure 22 As shown in the image.

[0176] exist Figure 22 In the example shown, the second SR representation (formed by two left halves) is excluded, therefore the proposed evaluation is based on the first FR representation (formed by two right halves) in a vertical scan, as... Figure 23 As shown in the diagram. The purpose of performing a second vertical scan representing the SR is to assess whether there are any favorable or unfavorable indications relative to the user's actual image.

[0177] Therefore, after the vertical scan, as Figure 23 As shown, the computing platform will provide users with information about whether either side of the face shows a significant improvement compared to the real face when analyzed in a mirror image. Figure 23The example shown and also referenced Figure 24 There is an adverse indication that no improvement was observed in the analyzed representation. Therefore, since the representation formed by the two left halves LH (2xLH) and the representation formed by the two right halves RH (2xRH) are ignored, the user's actual representation, i.e., the representation formed by their left face and their right face, must be evaluated.

[0178] therefore, Figure 25 This represents a typical user-defined vertical scan of the UR, focusing on evaluating whether there is a favorable indication (symmetry exists) or a unfavorable indication (symmetry does not exist) in the considered representation. Based on Figure 26 The representation indicates that an unfavorable indicator, namely the lack of symmetry in the user's face, was observed through the computational platform. In such an evaluation, and as with any step related to scanning the user's face, the face can be segmented into multiple quadrants, and an index (value) can be assigned to each of these quadrants.

[0179] In this example, the fact that both 2xLH and 2xRH representations are considered unfavorable for use as models indicates a trend of increasing technical difficulty in the program, thus affecting the difficulty index. If the user's side (either 2xLH or 2xRH) is considered better than the actual side, then the side with the best aesthetic appearance can serve as a guide (benchmark), i.e., the ideal model.

[0180] In this context, adverse indications related to the user's facial symmetry serve as a warning to the user (and to medical or healthcare professionals) regarding the treatment plan under consideration.

[0181] It should be noted that the representation under consideration (in this case, the usual representation) must be considered in both static and dynamic states, that is, taking into account, for example... Figure 27 and 28 The user shown is resting and, for example, smiling, undergoing an asymmetrical evaluation. Clearly, other expressions besides smiling can be considered. Note that in... Figures 26 to 28 In the example shown, asymmetry was detected both at rest and in a dynamic state, which often increases the difficulty associated with processing.

[0182] Subsequently, a user scan can be initiated based on the next level, such as the H2, H3, H4, and H5 levels discussed in patent US 11602303.

[0183] More specifically, the H2 level scan will consider the following evaluation parameters: ideal, favorable, acceptable, unfavorable.

[0184] Therefore, the user's portion will be scanned based on the H2 hierarchy, and for each scan performed, specific evaluation parameters will be reported through the computing platform.

[0185] In this way and in Figure 29 As a reference, it is suggested that for the upper third of H2, it should be in the front view ( Figure 29 (a) Oblique view ( Figure 29 (b) and side view ( Figure 29 (c) scans the user's portion and thus returns the evaluation parameter. In one example, the evaluation parameter returned after scanning the upper third of H2 is the parameter "favorable". When the favorable parameter is being processed, we are promoting "beautification" if the user desires it.

[0186] Similarly, perform the same steps on the middle third of H2, thus creating a front view ( Figure 30 (a) Oblique view ( Figure 30 (b) and side view ( Figure 30 (c) scans a portion of the user's face, returning evaluation parameters. In one example, the evaluation parameter returned after scanning the middle third of H2 is an "unfavorable" parameter. When processing unfavorable parameters, we are promoting "correction" of that third of the face.

[0187] Similarly, perform the same steps on the lower third of H2, thus creating a front view ( Figure 31 (a) Oblique view ( Figure 31 (b) and side view ( Figure 31 (c) scans a portion of the user's data to return evaluation parameters. In one example, the evaluation parameter returned after scanning the lower third of H2 is an "unfavorable" parameter.

[0188] Similarly, considering the H2 level, the same steps are performed on the user's neck, thus achieving a position in the front ( Figure 32 (a) Inclined position ( Figure 32 (b) and lateral position ( Figure 32 (c) Scan the user's neck to return an evaluation parameter. In one example, the evaluation parameter returned after scanning the user's neck is "acceptable". When processing the "acceptable" parameter, we are promoting "prevention" in the area under consideration.

[0189] To obtain evaluation parameters, the user's face can be segmented into multiple quadrants, and indices can be assigned to each quadrant, corresponding to the evaluation parameters. As an example only, ideal evaluation parameters can be assigned the maximum index (value), unfavorable evaluation parameters can be assigned the minimum index (value), and other parameters (favorable and acceptable) can be assigned intermediate values ​​between the maximum and minimum.

[0190] Subsequently, it was proposed to scan the user's face based on H3 levels, such that the scan should take into account the following evaluation parameters: aesthetically positive changes (upgrades), aesthetically negative changes (downgrades), and aesthetically equivalent changes (equivalents).

[0191] Therefore, in this step, the user's face is compared in a static state and a dynamic state, such that the static state means the user's face is at rest, while the dynamic state means the user's face is in motion.

[0192] In this way and in Figure 33 The diagram is used as a reference to compare the user's parts in a static state and a dynamic state, where the dynamic state is understood as the user's frowning action.

[0193] More specifically, the proposal is to segment a user's face into multiple quadrants Q using a computing platform, such as Figure 33 As shown in (b), and for each of these quadrants, a static index (for the resting state) and a dynamic index (for the active state) are assigned. Therefore, the computing platform must compare each static index and each dynamic index for each quadrant, and thus assess whether there is an aesthetically positive change (upgrade), an aesthetically negative change (downgrade), or an aesthetically equivalent change.

[0194] To understand this, the appearance of a negative aesthetic change indicates the generation of an aesthetic indicator that will receive treatment. Conversely, the appearance of a positive aesthetic change indicates the generation of an aesthetic indicator that will receive non-priority treatment, but if treatment is performed, the goal becomes prevention or beautification. Similarly, the appearance of an equivalent aesthetic change indicates the generation of an aesthetic indicator that will receive non-priority treatment, but treatment is also considered for preventative or beautifying purposes if the user desires it. If the user wishes to treat an area, part (quadrant or quadrant group) that was initially assigned an aesthetic non-treatment mark, the aesthetic mark must be updated to assign an aesthetic treatment mark.

[0195] Therefore, when a negative aesthetic change is detected, aesthetic marker 20 can be displayed on the computing platform in the corresponding quadrant where the negative aesthetic change occurred, thereby providing the user with an indication that this point on the face will serve as a treatment target. It should be noted that... Figure 33 (c) shows an example of aesthetic mark 20, which is represented as a square as an example.

[0196] This form of representation of aesthetic markings should not be considered a restrictive form of representation, making any other form of representation perfectly acceptable. Otherwise, although... Figure 33(c) Only one aesthetic mark is shown, but note that multiple aesthetic marks can be shown on a computing platform.

[0197] Therefore, for certain dynamic states of the user, and for example for each reference fragment at the H3 level, the above-discussed methods should be performed. Figure 33 The steps shown. This makes it possible to... Figure 33 The diagram illustrates a dynamic state that is understood as a frowning action, and it is proposed that the same approach now be applied to dynamic states such as raising eyebrows and smiling.

[0198] Therefore, for each of these dynamic states, the user's face must be segmented into the aforementioned quadrants, and from these quadrants, static and dynamic indices must be assigned, and then appropriate comparisons must be performed to determine whether there is an aesthetically positive, negative, or equivalent change.

[0199] It should be noted that the comparison between each quadrant of the static index and the dynamic index can be performed individually, that is, each quadrant of the static index will be compared with the corresponding quadrant of its dynamic index, or the comparison can be performed in groups, grouping a certain number of quadrants of the static index and comparing them with the corresponding equivalent quadrants of the dynamic index.

[0200] Therefore, at the end of the comparison between static and dynamic states, data indicating whether there is a positive, negative, or equivalent change in aesthetics will be obtained. For example, dynamic states associated with frowning lead to a negative change in aesthetics, as do dynamic states associated with raising eyebrows, but dynamic states associated with smiling lead to an equivalent change in aesthetics.

[0201] Information about whether a change is aesthetically positive, negative, or equivalent can be obtained by considering the number of quadrants relative to the user's face. For example, if it is observed that a larger number of quadrants have resulted in a positive change (the quadrant's index (value) increases from a static state to a dynamic state), then data associated with an aesthetically positive change will be reported, indicating that no processing priority has been given.

[0202] On the other hand, if a larger number of quadrants are observed to have led to negative changes (a decrease in the quadrant index (value) from a static state to a dynamic state), then data associated with negative aesthetic changes will be reported, thus indicating the priority need for aesthetic therapy.

[0203] Similarly, if the number of quadrants where the index increases and decreases is the same, an aesthetically equivalent change will be reported, thus indicating no treatment priority.

[0204] It is also suggested that the same procedure should be performed on the perioral area of ​​level H3, that is, the area close to the user's lips.

[0205] Therefore, refer to Figure 34 This paper presents a comparison of the static and dynamic states of the user's perioral region, proposing that the dynamic state be understood as, for example, the user's smiling action (or any other facial expression). Figure 34 As shown in (a). Therefore, and referring to Figure 34 (b) and (c) show the segmentation of the user’s face into multiple quadrants Q, as well as the indication of aesthetic markers as mentioned above.

[0206] In one example, considering the user's smiling action, a comparison between static and dynamic states could lead to aesthetically equivalent changes.

[0207] Similarly, it is proposed that the perioral region be considered for other dynamic user changes, such as the user moving their mouth and lips to simulate kissing. Figure 35 (a) and moving the mouth and lips to show a pout (puckering the lips), such as Figure 35 As shown in (b).

[0208] Therefore, for example, simulating the dynamic state of kissing may lead to aesthetically equivalent changes, while showing the dynamic state of the lower lip may lead to negative aesthetic changes, thus indicating that the area needs to be considered in the treatment plan (e.g., indicated by a specific quadrant or quadrant group).

[0209] The proposal suggests using user photos to compare static and dynamic states; these photos could be uploaded by the user to a computing platform or captured directly by the platform, for example, using a camera. Analyzing facial expressions via video will also be possible, as this type of analysis is considered more sophisticated and complex; therefore, analyzing graphic data via photos becomes faster and more feasible.

[0210] Therefore, computing platforms can, for example, prompt users to capture specific photos by displaying messages to them, such as when they move their mouths to simulate kissing, pouting, or even by moving their foreheads and eyebrows.

[0211] Furthermore, the aforementioned static indices may be initially assigned by the computing platform and may be related to a user’s specific race, age group, or gender.

[0212] After the evaluation of level H3 has been performed, the next level of the face, referred to as H4, can now be evaluated.

[0213] For example, the H4 level has been presented in the corresponding patent US 11602303 and involves segmenting the face into multiple sub-units. Therefore, it should be understood that the step of scanning at least a portion of a user also includes the step of segmenting that portion of the user into multiple tiny fragments MS, such as... Figure 36As shown in the image.

[0214] Therefore, at this stage, at least a portion of the user's data (such as a fragment from multiple tiny MS segments) must be compared with the portion considered "ideal".

[0215] The portion considered ideal can be understood as a benchmark for comparison, such that the portion considered ideal can be suggested by the computing platform itself taking into account the user's race, age group, and gender identity, or it can be provided by the users of the computing platform.

[0216] Therefore, if provided by a computing platform, the platform should, for example, suggest 10 models considered ideal, so that the user can choose the model that makes them happiest. In one embodiment, each model to be suggested to the user may also include a corresponding difficulty level, i.e., the existing difficulty for the user to reach the aesthetic state of the model suggested by the computing platform from their current aesthetic state.

[0217] In one embodiment, such an ideal model (the part considered ideal) can be understood as a person suggested to the user, such as a celebrity. Therefore, it is possible for a user to choose an ideal model associated with a specific person, thus indicating that after implementing the treatment plan, the user desires to become aesthetically similar to that chosen person.

[0218] In an equally effective embodiment, the ideal model suggested to the user can be based on an age model; that is, the user can choose a model that refers to an "ideal 35-year-old model," which includes aesthetic data considered ideal for a 35-year-old. Furthermore, the ideal model can also be suggested, for example, based on a given ethnicity, thus suggesting an "ideal model for a Caucasian," or even an "ideal model for a 45-year-old Caucasian."

[0219] In an equally effective embodiment, the computing platform can prompt the user to freely indicate which ideal model they wish to select.

[0220] Therefore, to understand this, a given model considered ideal will include multiple ideal aesthetic data points, such as multiple ideal aesthetic data points for each quadrant (or group of quadrants) of the user's face, like... Figure 37 As shown in the diagram. Therefore, each aesthetic data point considered ideal for each quadrant may include an ideal index, such as an ideal value (e.g., a scale from 0 to 10), such that the scale will be used as the basis for comparison with the user's actual data, thereby indicating what and how much aesthetic intervention the user needs to undergo in order to get as close as possible to the model considered ideal, or even indicating whether the goal expected by the user is impossible to achieve.

[0221] Therefore, it is important to understand that a user segment (e.g., a specific tiny fragment of a user's face obtained from multiple segments) includes multiple actual aesthetic data points. For example, each segment (quadrant) of the user's face may include specific actual aesthetic data. For instance, actual aesthetic data can be understood as an index (e.g., numbered from 0 to 10) for each quadrant of the user's face, such that this index (actual aesthetic data) is then compared to the corresponding ideal aesthetic data, thereby indicating whether aesthetic processing is needed in that area.

[0222] In one embodiment, the aesthetic data (and therefore the ideal model) considered ideal can be pre-stored in the memory of the computing platform; alternatively or additionally, the aesthetic data considered ideal can be obtained from clinical trials, more specifically from data provided in clinical trials and data found in the literature. An index value for each ideal aesthetic data point can then be generated and subsequently fed into the computing platform.

[0223] Additionally or alternatively, the ideal model can be generated by the computing platform itself, for example, through artificial intelligence, where the platform can be prompted, for example, to design the face of a model considered ideal and involving a person of 50 years old. Furthermore, the artificial intelligence can be prompted, for example, to design the user's own ideal model based on a younger photograph of the user.

[0224] Therefore, when evaluating a user's photos, artificial intelligence will be able to take into account the user's aesthetically appropriate expressions, such as redesigning the photo without the effects of aging, stress, and malnutrition.

[0225] Furthermore, as mentioned earlier, the ideal model (and therefore ideal aesthetic data) can be pre-stored in the computing platform and obtained from multiple ideal models.

[0226] In this way and by reference Figure 38 and 39 Each tiny fragment MS must be compared with its corresponding considered ideal tiny fragment MS. To perform such a comparison, and as already described, the tiny fragment MS can be divided into multiple quadrants Q, thereby assigning a corresponding index (e.g., numbered from 0 to 10) to each quadrant. Thus, as previously described and referring to the H3 hierarchy, the indices considered ideal are compared with their corresponding actual indices.

[0227] Subsequently, it was proposed that the computing platform return what aesthetic interventions a particular user should undergo in order to aesthetically approximate (or resemble) a model considered ideal for that particular segment.

[0228] Therefore, and at least refer to Figure 38 and 39Each value (index) of what is considered an ideal quadrant (or quadrant group) is compared to the corresponding actual quadrant. Thus, for example, if there is a difference between the ideal index and the actual index, this fact will indicate that a specific area of ​​the quadrant in question should be targeted for aesthetic treatment.

[0229] Therefore, by evaluating the reviews, the computing platform can, for example, return unattractive parameters that should be processed so that the actual user's appearance becomes similar (or close to) the ideal model.

[0230] In one embodiment, such unattractive parameters may be identified, for example, as: excessively high eyebrows, excessive upper eyelid skin, small eye shape, low outer canthus, prominent tear troughs, and reduced cheek volume.

[0231] Therefore, the proposal is to... Figure 38 Each tiny segment MS in the multiple segments shown performs the above method. Furthermore, the comparison with a model considered ideal can be performed in either a static or dynamic state.

[0232] Based on a comparison between the perceived ideal model and the user's current model, as well as a scan of the user's face, the computing platform can thus return the user's monitoring, consideration, and processing components.

[0233] Therefore, based on a comparison with their considered ideal models, the measures to be taken by the user are defined.

[0234] Therefore, the monitored portion can be understood as the parts of a user's data (regions, areas, quadrants) that are worth monitoring over time. In other words, these indicate areas that currently do not require cosmetic treatment but may eventually require intervention after a certain period (monitoring period). Thus, such portions can be stored in a database linked to that specific user on the computing platform, allowing the platform to automatically perform the monitoring.

[0235] In one embodiment, it is proposed that when a period of time, referred to as the final monitoring period, is approaching or has expired, the user will receive a notification, such as an auditory, text, or graphic signal, or a combination thereof.

[0236] The "considered parts" can be understood as those parts that are slightly removed from what is considered ideal; that is, parts that are currently in a state of acceptable aesthetics. Therefore, for the purpose of beautification or prevention, the computational platform can suggest that users consider these parts in the treatment plan to be generated.

[0237] Finally, the treatment section should be understood as those sections (regions, parts, segments, quadrants, quadrant groups) that are very far from the corresponding sections that are considered ideal, thus indicating that the sections need to be treated so that the user can obtain an appearance close to (or similar to) the model that is considered ideal according to age group, race, and gender identity.

[0238] In one embodiment, it can be based on an aesthetic change index. A portion of the evaluation will be defined as the part to be monitored, considered, or processed, such that the aesthetic change index can be understood as the difference between the ideal aesthetic index and the actual aesthetic index, i.e.: (Expression I) Therefore, the aesthetic change index Indicates the actual aesthetic index ( ) and the ideal aesthetic index ( How far apart are they? Therefore, it is possible to determine the amplitude range, thereby indicating, for example, three amplitude ranges corresponding to the monitoring, consideration, and treatment sections respectively.

[0239] In one embodiment, the ideal aesthetic index can be assigned a total value of 10; therefore, a value of 10 can be assigned to each quadrant of the segment being analyzed. For example, for Figure 37 (b) For reference.

[0240] Therefore, the aesthetic change index ranges from 0 to 1. The value should be returned, for example, if the given part falls within the monitored part, thus indicating that the actual aesthetic index has been assumed to be equal to a value of 10 or 9.

[0241] For example, aesthetic change index falling within the range of 2 to 4 The value should indicate that the given part conforms to the considered part, thus indicating the actual aesthetic index assumed to be 8, 7, or 6.

[0242] Aesthetic variation index falling within the range of 5 to 10 The value indicates that the part under consideration (current / actual part) is too far from the ideal part, so that the part involved should be classified as the processing part, thus indicating the actual index assumption value of 5, 4, 3, 2, 1 or 0.

[0243] The range of values ​​described in this article should be considered for illustrative purposes only. Furthermore, the ideal aesthetic index does not necessarily have to assume a total value of 10, and therefore any value can be assigned to the index under discussion (for this reason, it is recommended that expression I be considered modulo). In any case, it is recommended that the values ​​of both the ideal and practical aesthetic indices be positive.

[0244] In short, the further the actual aesthetic index deviates from the ideal aesthetic index, the more it indicates that the corresponding part of the user's body needs aesthetic processing.

[0245] In one embodiment, signaling to the user which parts should be understood as monitoring, consideration, and treatment parts can be performed by indicating the quadrant of the user's face that issued the corresponding signal notification.

[0246] Therefore, for example, the quadrants in question can be superimposed on the user's face, such as using green to indicate the quadrant of the monitoring portion, yellow to indicate the quadrant of the consideration portion, and red to indicate the quadrant of the processing portion.

[0247] Additionally or alternatively, user instructions regarding monitoring, consideration, and processing can be executed as follows: Figure 40 As shown, this is thus executed from the so-called ATP aging trigger points, which have been discussed, for example, in patent US 11602303.

[0248] Therefore, in such Figure 40 In the illustrated embodiment, ATP associated with the treatment section can be highlighted to the user in red. Alternatively, it may be optional to not display ATP associated with the monitoring and consideration section to the user, or alternatively, the monitoring section may be indicated in green and the consideration section in yellow.

[0249] Therefore, once the part that will be the goal of aesthetic therapy is defined, aesthetic indicators are generated, and more specifically, instructions for aesthetic indicators in a therapeutic state are provided.

[0250] In this sense, aesthetic indicators can be understood as data (information) generated by a computing platform that indicates which specific part of the user should undergo aesthetic treatment. Aesthetic indicators can be generated from any user facial scan embodiment described in this invention.

[0251] Therefore, since the portion to be subjected to aesthetic treatment has been defined, i.e. the treatment portion has been defined, the method described in this invention further proposes the step of obtaining and generating at least one treatment code from the aesthetic indicator, such that the aesthetic indicator should be understood as any data that mentions the need to perform aesthetic treatment to the computing platform.

[0252] Treatment codes should be understood as codes that at least indicate to a physician or qualified healthcare professional the location where cosmetic treatments should be received. Furthermore, treatment codes can not only indicate the treatment location to the healthcare professional, but also provide instructions related to the application of specific substances, such as the dosage, the instrument used, the method of dispensing the product, the depth of application, and the angle of application.

[0253] In effective embodiments, such application codes can be understood as the MD codes and / or MDDyna codes proposed in patent US 11602303. In any case, it should be noted that, in light of the teachings of this invention, such treatment codes should be understood as any treatment code (i.e., text, numbers, graphic representations, and combinations thereof) that at least indicates to a healthcare professional the location of substance application.

[0254] In an exemplary embodiment, this treatment code TC may refer to a treatment code indicating the application location on the user's face. In equally valid embodiments, this treatment code TC may refer to body treatment codes, such as… Figures 52 to 55 Instructions.

[0255] Therefore, the present invention also includes the step of displaying the treatment code TC on a portion of the user's body, such as Figure 41 As exemplified in the example. It should be noted that this treatment code TC should also be displayed on the screen of the computing platform.

[0256] Furthermore, a step for displaying at least one application dose associated with the treatment code TC is proposed. Therefore, for each obtained treatment code, the corresponding treatment dose must be displayed on the computing platform, such as... Figure 42 As illustrated in the example. Therefore, the total number of doses to be applied, which is related to the user's treatment plan, must also be displayed.

[0257] In an effective embodiment of the invention, and based on the generated therapeutic code TC, a step is also proposed to associate the generated therapeutic code TC with a final set of previously obtained and discussed aesthetic, emotional, and social data.

[0258] Therefore, the computing platform evaluates and notifies the user whether the obtained treatment code TC corresponds to the area and site previously indicated by the user as the desired treatment area and site.

[0259] It should be noted that for the generation of treatment codes (TC), it is recommended to prioritize scanning the user's facial features and / or body movements, and thus identify the areas, regions, and quadrants that require priority aesthetic intervention.

[0260] Treatment codes TC with their corresponding application doses have been identified and generated, and have been displayed via a computing platform. The present invention also proposes a step of generating at least one application seal associated with a user.

[0261] The application seals S1, S2, S3, S4...SN can be understood as data (information) suitable for reading by a computer and including multiple pieces of information related to the generated treatment plan stored therein. Therefore, the application seals S1, S2, S3, S4...SN are understood, for example, as files that can be read, processed, stored, transmitted, and received by a computer device. Furthermore, it should be understood that the application seals S1, S2, S3, S4...SN are capable of storing various types of information that can subsequently be read and processed by a computer device. In an effective embodiment, the application seals S1, S2, S3, S4...SN can be read and processed by augmented reality and / or virtual reality devices, such as glasses equipped with functionality associated with augmented reality and / or virtual reality.

[0262] Therefore, the application seals S1, S2, S3, S4...SN are configured to guide the application parameters of a given substance and take into account the structure of a specific processing code. In this way, the application seals can be sent, for example, from a computing platform to the personal computer of a physician or qualified healthcare professional, so that upon receiving the aforementioned application seals S1, S2, S3, S4...SN, the physician will have all the necessary information to perform the application of the substance.

[0263] Furthermore, the application seals S1, S2, S3, S4...SN can be sent, for example, from a computing platform to an automated applicator of a substance, such as an applicator robot (robotic arm). Therefore, upon receiving the application seals S1, S2, S3, S4...SN, the automated applicator can read and process them, thereby automatically applying the substance to the user. Thus, it should be understood that upon receiving the application seals S1, S2, S3, S4...SN, the automated applicator's robotic arm will move, thus transitioning from a static (stationary) state to a mobile state.

[0264] Taking into account the teachings of the present invention and further reference... Figure 43 The diagram suggests that the application seal should store at least the following information (data): processing code TC data, application product data, application layer data, application device data, application mode data, and activity number data (dosage).

[0265] Furthermore, even if the application seals S1, S2, S3, S4...SN are to be understood as files suitable for computer reading, it is proposed that the application seals also include a graphical arrangement of its information, which enables a professional who will receive the aforementioned application seals to correctly read and identify them.

[0266] Therefore, application sealing is also understood as a way of providing information (instructions) related to the application of a substance to a specific user in a graphical manner.

[0267] Therefore, and based on the description provided above, it should be understood that the application seal is configured with at least one of the following: a machine-readable application seal and a user-readable application seal.

[0268] Figure 43 A preferred graphical representation of the proposed structure of the application seal S1 is shown. Preferably, the application seal S1 comprises a square-shaped structure, wherein a set of three pieces of information is arranged in the first half of the application seal, and an additional set of three pieces of information is arranged in the second half of the application seal. Thus, it should be understood that the application seal is divided into at least a first part and a second part, wherein each part includes the same amount of data.

[0269] Therefore and refer to Figure 43 (a) and Figure 43 (b) The application seal is determined to include processing code TC data, in this case Ck1, thereby indicating the application location to a medical professional or a professional utilizing the teachings of this invention. Furthermore, it should be noted that the application seal S1 indicates the application product, in this case referred to as product A. The application seal S1 also indicates the application layer, such that the indication can be made via graphic elements (e.g., a figure). In this case, there is a skull image, thus instructing a professional that the application should be performed on the patient's bone plane (periosteum / periosteum).

[0270] Similarly, the application of a seal is also indicated to the application device via graphic elements, making the reference... Figure 43 The illustration in (b) tells professionals that specific instruments (such as needles) should be used to perform the application.

[0271] In addition, the application pattern is also indicated by graphic elements; in this case, there is a circular representation, which allows professionals to understand that the application should be carried out in equally spaced specimens.

[0272] Finally, the data on the number of active ingredients (volume / dose / unit) should be provided to the professional to indicate the application dosage, in this case, the application dosage consists of three administrations of 0.1 ml each.

[0273] It is worth noting that the graphic elements and treatment codes that should constitute the application seal can be those known in the prior art, such as those found in the literature and related to MD codes and MD Dyna codes.

[0274] Having already generated application seals S1, S2, S3, S4...SN, the present invention then proposes a step of generating a treatment plan from the application seals S1, S2, S3, S4...SN.

[0275] In one embodiment, the treatment plan may be generated directly by a computing platform and therefore includes at least data on the number of sessions, cost data for the generated treatment plan, and data on the person responsible for implementing the treatment plan (whether a medical professional, healthcare professional, or automated medication agent). In this sense, such data is often the most valuable information for the user who will receive the treatment plan, and is data that the user can accept or reject.

[0276] In addition, it should be noted that any information contained in the treatment plan should be understood as treatment data.

[0277] For example, if a treatment plan directly generated by a computing platform includes a cost data point informing the user that the treatment will cost 10,000 monetary units, the user can accept or reject such a cost. Similarly, if a treatment plan directly generated by a computing platform includes an indication of the number of sessions in which the treatment will be performed over seven sessions, the user can accept or reject such a fact.

[0278] Therefore, if the cost data and session count data are accepted by the user, a treatment plan will be generated in a timely manner based on application seals S1, S2, S3, S4...SN. Thus, it should be understood that if there are no objections from the user regarding the treatment data, the previously generated treatment plan will be implemented.

[0279] Alternatively, if the user rejects at least one of the session count data or cost data, a step is proposed to generate an updated treatment plan based on the user's request. Therefore, if there is a user objection to at least one piece of treatment data, a step is proposed to receive updated data from the user and generate an updated treatment plan, as described below.

[0280] For example, if a treatment plan directly generated by the computing platform has indicated the processing of data, such as a session number equal to 5 sessions, and the user has rejected the data through the computing platform, then it is proposed to perform the step of requesting the user to provide an update on the rejected data (updating the data).

[0281] In this case, after the requested update, the user must indicate whether they wish to execute the treatment plan in more or fewer sessions than provided; alternatively, the user can specify how many sessions they would like to execute the treatment plan through the computing platform.

[0282] Once updated user data has been received, a treatment plan update step is proposed so that the treatment plan will now include session count data as provided by the user.

[0283] It should be noted that if the updated data provided by the user is unacceptable for any reason, the computing platform may issue a warning message based on the application seals S1, S2, S3, S4...SN, thereby indicating that the number of sessions provided by the user is not allowed.

[0284] For example, if a user expresses a desire to receive treatment in only one session, a warning message can be issued to inform the user of the minimum number of sessions required for that particular treatment.

[0285] Therefore, it should be understood that the present invention includes the following steps: after receiving updated data from the user, performing a step of verifying the feasibility of the received updated data, and then generating an updated treatment plan (if the updated data is deemed feasible).

[0286] Similar to the description provided above, users can accept or reject fee data.

[0287] For example, if a user refuses to process data, such as cost data generated directly by the computing platform and referencing a fee of 10,000 monetary units, the computing platform will prompt the user to provide updated data. The user can then indicate that the reported cost is too high, and the computing platform can then generate an updated treatment plan with reduced costs (e.g., the cost reported by the user).

[0288] As previously mentioned, a step is also proposed to verify the feasibility of the received updated data. For example, if the updated data (new cost) provided by the user is not feasible, the computing platform will issue a warning message, indicating to the user that it is impossible to perform the treatment at the notified cost, or further informing them of the minimum possible cost to perform the treatment.

[0289] For example, treatment costs can be reduced by changing the type of product considered in the process and / or by changing the agent who will perform the treatment (whether it is a doctor or a robot) and / or by changing the number of sessions.

[0290] In a fully effective implementation, upon receiving cost data associated with a treatment plan, the user can update the data to indicate the possibility of incurring a higher cost compared to the cost of performing the treatment.

[0291] For example, consider using product A, generating cost data of 10,000 monetary units. Product A is considered a medium-quality product in the market. Therefore, upon receiving a treatment plan using the aforementioned product, the user can indicate the possibility of incurring a cost of 15,000 monetary units and then undergo treatment using product B, which is considered a high-quality product in the market.

[0292] Similarly, cost data can be updated when the professional responsible for executing a treatment plan changes. For example, cost data for 10,000 units might be generated for professional A, who is considered to have average experience. Therefore, if users wish, they can request an update to the treatment plan so that it is generated / executed by professional B, who is considered to be an experienced professional. Consequently, since the treatment plan will be performed by a more experienced professional, the cost would theoretically be higher.

[0293] In an equally effective embodiment of the invention, and before generating a treatment plan, it is proposed to incentivize users to provide data such as cost information and the desired number of sessions.

[0294] Therefore, the user freely specifies, for example, how many sessions they wish to undergo treatment in, and the platform will assess the feasibility of the user-specified number of sessions in this way. If the provided number of sessions is feasible, a treatment plan will be generated; otherwise (if the number of sessions is not feasible), a warning message will be sent to the user requesting updated data, such as the previously provided description.

[0295] Additionally or alternatively, and before generating a treatment plan, the computing platform may prompt the user to provide the amount they are willing to pay for the treatment in question. Therefore, upon receiving the aforementioned cost data, the computing platform will automatically generate a treatment plan that matches the provided cost data, including a certain number of sessions and the types of products to be applied.

[0296] When generating a treatment plan, it is proposed that it include information about the total cost (i.e., the entire treatment) as well as information about the cost per session.

[0297] Therefore, if the generated treatment plan instructs the execution of four sessions, it is proposed to provide the cost of each of the four sessions separately, so that the user is aware of the individual costs, and updates can be published, for example, for each session or for the entire treatment. Thus, it should be understood that, according to the teachings of the invention, the update data to be sent by the user can refer to the entire treatment or it can refer to each treatment session.

[0298] Another advantage is that including estimated dates for each session in the treatment plan allows users to compare the scheduled dates with the cost of each session, thus assessing whether they can afford the corresponding expenses on those dates. If a user wishes to request any changes to the treatment plan, they can submit updated data.

[0299] Therefore, using this invention, users have the freedom to send updated data of any information present in the treatment plan through interaction with the computing platform, so that the treatment plan to be generated in this way can meet the user's needs and expectations. In this way, and by way of example, users can thus adjust the amount of investment they are comfortable spending.

[0300] Clearly, and as already stated above, any updates provided by the user must be verified by the computing platform in order to assess the feasibility of implementing the treatment plan based on the user-provided updates.

[0301] In this manner, and as previously described, after presenting objective diagnostic results (application sealed), the system will ask the user how many sessions they wish to achieve the proposed goals, which will affect the amount of materials used and financial investment. The user can also present their budget for each stage of treatment (or for the entire treatment), and the system will provide the number of sessions and product quantities that align with the user's budget. The system can also indicate whether the budget is insufficient to meet the user's requests or desired outcomes.

[0302] In this context, the system is able to generate treatment plans either proactively or reactively, for example, by directly instructing the user on a treatment plan (proactive) or by calculating possible processing options based on, for example, a budget sent by the user (responsive).

[0303] Therefore, the generated treatment plan can be segmented into sessions, each session including the corresponding treatment code, the product to be used, and the corresponding application dosage.

[0304] Therefore and refer to Figure 44 An example of a treatment plan for the first session, including four application actions AP1 to AP4, is given, in which the first application AP1 is in the treatment code Ck1, the product is named product A, and three 0.1 ml aliquots are applied on the right side and three 0.1 ml aliquots are applied on the left side.

[0305] Similarly, in treatment code T1, a second application of product A, AP2, is used, with 0.7 ml applied to the right side and 0.7 ml to the left side. Furthermore, refer to... Figure 44 In treatment code Ck4, there is a third application of AP3 (0.5 ml per side), and in treatment code Ck3, there is a fourth application (0.5 ml per side).

[0306] It should be noted that the methods and systems proposed in this invention can also indicate data on the number of syringes required to perform the treatment plan based on the generated treatment plan, such that the data can be segmented, for example, by session, or can be indicated for the entire treatment.

[0307] Subsequently, steps for associating the treatment plan with the application seal are proposed. More specifically, steps for generating and displaying the application seal associated with the treatment plan are proposed, thereby enabling correct product application, promoting reproducibility, and reducing adverse events due to a lack of specific guidance on best practices in the healthcare field. In one embodiment, the steps for associating the treatment plan with the application seal can be performed for each treatment session, or for each application action within a given treatment session, or even for the entire treatment.

[0308] Therefore, by utilizing the application seal, information is provided on how to inject (apply) the substance (product), enabling the correct execution of the treatment plan. Therefore, and refer to... Figure 45 There are steps to obtain the application seal associated with the treatment plan, and more specifically, there are steps to obtain the application seal for the first session of the treatment plan, namely application seals S1, S2, S3 and S4 (which correspond to each of the four application actions AP1, AP2, AP3 and AP4).

[0309] Further reference Figure 45 It should be noted that the first treatment session includes four applications, and therefore... Figure 45 As shown, four treatment seals are generated and obtained, where each treatment seal refers to an application in a specific processing code.

[0310] Therefore, there exists a first treatment seal S1 for code Ck1, a second treatment seal S2 for code T1, a third treatment seal S3 for code Ck3, and a fourth treatment seal S4 for code Ck4.

[0311] Therefore, the application of a seal (e.g., seals S1 to S4) provides instructions on how the application should be performed, such as... Figure 45 Using the application seal S1 as a reference, a medical professional (or automated drug delivery person) should proceed to the instruction for code Ck1, so that, as the aforementioned code is outlined by a blue circle, the professional (or automated drug delivery person) will recognize that the indicated code is a safety code. Subsequently, product A should be applied to the bone surface, and a needle must be used to reach the bone surface. When applying the product, it should be aliquoted into equal aliquots, with each aliquot containing 0.1 ml of application.

[0312] Subsequently, once the application associated with the application seal S1 is completed, the agent can proceed to the next seal, namely the application seal S2, thereby executing the application on the processing code T1 (second application action AP2).

[0313] In one embodiment of the invention, it is proposed to use a warning light (WL) to summarize treatment code data arranged on the application seal, such as... Figure 43As shown in (a) and 45. The warning light WL can be understood as a circle of a certain color (e.g., blue or red) that provides the administerer with an indication of the treatment code to be considered.

[0314] Therefore, a blue WL warning light indicates a safe treatment code, while a red WL warning light indicates a warning code. A red halo (circle) code indicates proximity to critical structures such as arteries, requiring greater caution, such as pre-aspiration before product injection and specialized training in areas considered high-risk.

[0315] In this way, an application seal is generated for each session in the treatment plan. Therefore, Figures 46 to 48 The treatment plans and application seals for the second, third, and fourth sessions are shown, each of which includes multiple application actions. Therefore, it should be understood that for each application action, there will be a corresponding application seal.

[0316] Specific reference Figure 48 (a) It was observed that for processing codes Ck4 and Ck5, no application was recommended on the right side of the user's face, specifically, to allow any asymmetry previously detected for the user during facial scanning to be corrected. It is noteworthy that any information previously detected for a given user (received data, scans) can be taken into account in the generated treatment plan.

[0317] Once an application seal has been generated for each session, it is possible to generate an application chain AC corresponding to the generated treatment plan. An application chain AC can be understood as a group of application seals associated with a specific user, where the application chain also includes an identifier code for processing the CT and the date the treatment plan was generated.

[0318] Therefore and refer to Figure 49 The application chain AC can be segmented by session (partial), where the first session will include a set of application seals used in the first session of the treatment plan, namely seals S1 to S4.

[0319] Therefore, each part of the application chain AC will include a set of application seals used in the treatment plan session; in this way, the application chain AC acts as a merged block referring to the treatment plan of the corresponding user. Thus, the application chain (and application seals) can be sent to the administerer, such as professionals, medical professionals, automated administerers, or professionals in the beauty and health field.

[0320] Furthermore, once a treatment has been performed, the Application Chain AC can be stored on the computing platform; additionally, it can be stored in the user's associated digital wallet. Therefore, the Application Chain AC allows tracking of a specific user's application history, enabling the user to access information contained within an application seal (e.g., clicks, taps, actions) when interacting with a specific application seal stored in (or a specific part of) the Application Chain. In other words, the user will know all the information related to the performed treatment. Since a given user may experience dozens of treatments throughout their lifetime, the advantages derived from the generation of the Application Chain are enhanced.

[0321] Therefore, application seals S1, S2...SN and application chains AC have been generated, which can be sent to automated applicators and / or professional applicators. Thus, it is to be understood that the present invention includes at least one of the following steps: sending at least one of the application seals and application chains to an automated applicator, and sending at least one of the application seals and application chains to a professional applicator.

[0322] In other words, it is important to understand that the application seal and application chain can be sent to medical professionals and / or beauty professionals and / or automated drug delivery personnel (robots) so that treatment plans can be implemented.

[0323] Therefore, a medical professional (healthcare professional and / or aesthetic professional) who receives a given application chain can interpret it to read each application session seal and thereby execute the application treatment plan for the user.

[0324] Similarly, an automated dosing agent that receives a given application sequence can treat the patient by interpreting the information contained therein and transmitting it to an automated robotic arm responsible for executing the treatment plan application.

[0325] As an additional feature of the teachings of this invention, it is proposed that the computing platform 30 itself is capable of suggesting to the user multiple agents (whether professional or automated) who can execute the treatment plan provided to the user.

[0326] Therefore, based on a certain criterion (pre-defined criterion), such as the user's location (or their native language), the computing platform 30 itself can suggest a list of qualified medication providers located near the user. It is also proposed that the user should have the freedom to specify the maximum expected distance of the suggested medication providers.

[0327] Additionally or alternatively, the computing platform can also suggest only qualified (certified) pharmacists to the user for a given procedure. For example, computing platform 30 can be configured to indicate to the user that the clinic has professionals certified, for example, in well-known MD Codes. Thus, this functionality of the computing platform acts as a "store locator" for the user, facilitating the indication of a qualified pharmacist to perform the generated treatment plan.

[0328] Additionally or alternatively, the teachings of this invention can also suggest multiple medication providers to a user, such that the suggestions are based on a difficulty index associated with the generated treatment plan.

[0329] In addition, it should be understood that the advice provided to the user includes at least one of the following: advice from a professional pharmacist, advice from an automated pharmacist, and advice from a clinic that will be qualified to execute the generated treatment plan.

[0330] In one embodiment, and regardless of the application mode (human or automated applicator), the application chain (i.e., the execution of the process) can be recorded, for example, by a camera.

[0331] Therefore, once treatment has been performed, it is proposed to use at least one record of data. R D (video data) updates the application chain AC, which records the data. R D includes a record of the generated treatment plan. In one embodiment, the application chain AC may include multiple record data. R D, where each record data R D corresponds to a specific application seal; furthermore, it is entirely acceptable to record data, for example, for each session of a treatment plan or even for each application action AP1, AP2...APN of a given session. R Group D. Therefore, and refer to... Figure 44 Each of the four application actions in Session 1 can include recording data. R D. Furthermore, it is worth noting that the collection, storage, and sharing of recorded data can be performed with the user's prior authorization.

[0332] It should be noted that the application action is understood to be every application present in the treatment plan, such as every application present in a given session of the treatment plan. Therefore, and referring to... Figure 44 The indicated session includes four application actions, which are referred to as: first application action AP1, second application action AP2, third application action AP3, and fourth application action AP4.

[0333] Similarly, and now refer to Figure 46 (a) There are five AP5, six AP6, seven AP7 and eight AP8 application actions.

[0334] Therefore, by recording data for each application action in a given session R D can be grouped, for example, based on the recorded data according to the specific products considered in the treatment plan. R Group D. For example, in Figure 48 (a) The manufacturer of product B considered in the treatment plan shown can apply the recorded data of action segmentation. R D checks whether their products are being used correctly by users.

[0335] In addition, the application chain AC must be updated with the code of the professional responsible for performing the treatment, whether that professional is a human or a machine.

[0336] Therefore, Application Chain AC allows administrators of computing platforms to generate multiple reports, which are segmented, for example, by the code of the professional performing a given treatment, by the code of the user receiving the treatment, by the type of product applied, by the code of the treatment under consideration, etc.

[0337] It should be noted that any information existing in the application seal and / or in the application chain AC and / or in the computing platform and / or in the treatment plan can be parameters used to generate a specific report.

[0338] Furthermore, it is proposed that the generation of the application chain AC is accompanied by cost data CT; therefore, the present invention also includes at least the step of generating cost data CT from the application chain.

[0339] As previously mentioned, CT cost data can be understood as the cost associated with the treatment plan being performed; therefore, upon receiving the treatment plan, the user will also receive the cost of performing the treatment in question, taking into account the selected administerer. As previously mentioned, CT cost data can be provided for the entire treatment, or the cost data can be segmented via session, application seal, or application action.

[0340] As an additional feature of the invention, it is further proposed that each application chain AC also include at least one satisfaction index related to the performed treatment. For example, the satisfaction index is understood to be input from the user themselves, indicating their satisfaction with the performed treatment and their overall satisfaction with the computing platform.

[0341] Furthermore, the teachings of this invention are also beneficial because the computing platform can be used as a platform for training new drug users. For example, based on recorded data. R D. Administrators of computing platforms (such as companies that manufacture cosmetic substances or even beauty clinics) can see whether a specific agent (either a person or a robot) has executed the treatment plan suggested in the application seal and application chain.

[0342] Therefore, for example, the administrator of the computing platform (or any user / entity responsible for training) can monitor and record the data. R D, and provides at least one compliance parameter in real time to indicate whether the application being executed is compliant.

[0343] In one embodiment, the compliance parameter may be associated with each of S1, S2, S3, S4...SN that constitute a given application chain AC. Therefore, for each application seal, there will be an associated compliance parameter, i.e., a parameter indicating whether the application substance has been correctly executed according to the instructions of the application seal. It should be understood that the compliance parameter may be displayed on the screen of the computing platform and / or on the screen of the augmented reality device 1200.

[0344] Therefore, the teachings of this invention can be incorporated into computing platforms designed to train new healthcare professionals, thereby functioning as academies or aesthetic universities, where interaction between the user and a given professional, such as interaction between the user and a specific graphical representation of 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, and 1100 generated by artificial intelligence (e.g.) Figure 56 and 57 As shown in the diagram, specific treatment plans can be generated, and users can therefore receive appropriate training. Furthermore, there will be support from multidisciplinary professionals represented by the "avatar" to clarify, educate, and plan various activities related to the clinic's operations, including but not limited to healthcare, administration, management, marketing (digital media and influencers, etc.), legal, business, and accounting fields, such as... Figure 57 As shown in the diagram. These avatars are named using names that reference artificial intelligence, containing the letters AI or IA. For example, the academy or aesthetic university might be commercially referred to as the Academy of Academic Sciences (AKADEMIAE). In a viable embodiment, the avatars can be configured to provide platform users (e.g., users who have undergone material application training) with compliance parameters associated with each application seal.

[0345] It is also important to understand that compliance parameters can be configured at least as text data, numerical data, audio data, video data, data represented in an augmented reality environment, and combinations thereof.

[0346] For example, compliance parameters can be set as text data, thereby instructing the user via text that the application seal is being executed correctly. More specifically, the parameter can be represented in the form of a message such as "Incorrect Application" or "Correct Application".

[0347] More specifically, it is proposed to generate corresponding compliance parameters for each piece of data constituting a given application seal. Therefore, it is proposed to generate compliance parameters associated with the treatment code, application product, application layer, application device, application mode, and quantity (dosage) of activity. In this way, it is possible to specifically identify points of compliance (or compliance) during the application of the substance. For example, if an inconsistency exists related to the application product, it is possible to identify that the substance was applied using a product not specified on the application seal. Therefore, it should be understood that the present invention proposes the steps of generating compliance parameters for each application seal and / or generating compliance parameters for each piece of data constituting the application seal.

[0348] In a viable embodiment, user interaction with the computing platform (e.g., user training) can be performed in the form of a survey displayed on the computing platform's screen. Similarly effective, the interaction can be conducted through a graphical representation generated by artificial intelligence, as already described above.

[0349] The aforementioned survey presented trainees with a series of questions related to the application of a specific substance, tasking them with answering these questions through interaction with a computing platform. In one embodiment, after the user has provided an answer, a graphical representation generated by artificial intelligence can indicate the correctness of the answer via audio prompts (voice), thereby generating compliance parameters.

[0350] It was also proposed that the investigation be linked to the application of sealing. In this sense and as... Figure 73 As shown, user interaction can be achieved by displaying a specific SN application seal on the screen of the computing platform and by asking the user to indicate "how the application seal involving treatment code Jw1 can be injected". In one embodiment, the question can be made via voice through an AI-generated graphical representation.

[0351] Furthermore, arranging the application seal on the screen of the computing platform 30 can initially omit some data from the application seal, such as data related to the application layer and application device, like... Figure 73 As shown in the image (because the data is relevant to the question asked). In a later stage, after the user's response has been submitted, the application seal can be fully displayed to the user.

[0352] In an equally effective embodiment, the aforementioned graphical representation generated by artificial intelligence can be used not only for interaction with users who wish to receive a treatment plan, but also for interaction with users of a computing platform that is undergoing specific training.

[0353] In this way, the graphical representation generated by AI 1200 can, for example, present a specific “case study” 3000 to the user during training, and provide the user with explanations about product choices to consider for the case study in question (whether via voice, text, video, and / or a combination thereof), as in Figure 74 As illustrated in the example.

[0354] Furthermore, the graphical representations generated by AI 1200 can also associate specific application seals (SN) with the case study under discussion (3000), thereby providing users with explanations of how a particular product should be applied in that case study (whether through voice, text, video, and / or a combination thereof), such as... Figure 75 As shown in the image.

[0355] The teachings presented in this invention can also provide a set of instructions on the screen of a computing platform, which thus provide guidance on how to perform the application of a given substance. This set of instructions can be understood as graphical, video, audio, or text instructions (or a combination thereof), which can be viewed by a platform user, such as a user undergoing training.

[0356] Therefore, refer to Figure 76 There are application instructions 5000 that instruct the user on how to read and interpret a given application seal. Application instructions 5000 are understood as graphical instructions generated by the computing platform and displayed on the graphical representation (photographs, videos, and / or representations generated by artificial intelligence) of the case study 3000 under discussion. Therefore, it should be understood that application instructions 5000 are arranged in a manner that overlaps with the graphical representation of case study 3000.

[0357] The proposal is that the provision of graphical instructions 5000 is performed in conjunction with audio instructions (e.g., the voice of avatar 1200), which thus instruct the user on how to apply the substance in question. For example, in Figure 76 In the illustrated scenario, the audio instruction can guide the user during training to: "Place the patient with their chin facing upwards and mark Jw4 and Jw5 below the jawline, noting that Jw4 is three times the length of Jw5." Furthermore, both the graphical instruction 5000 and the audio instruction can guide the user during training on how to read and interpret a specific application seal SN.

[0358] In equally effective embodiments and as Figure 77 As shown, the application instructions 1700' can be configured in the form of a graphical representation (e.g., a circle) superimposed on the surface of the case study 3000 to indicate the positioning points of the sleeve to the user in training. Additional application instructions 6000 can be provided, which graphically indicate the application points and their corresponding volumes on the case study representation 3000.

[0359] Furthermore, and refer to Figure 78 The computational platform can prompt users during training to suggest treatment codes that they deem appropriate for a given case study 3000. Therefore, by interacting with the computational platform, users can suggest treatment codes (e.g., by clicking on an appropriate code), and these codes will be inserted into a test seal 4000, which can later be sent to the computational platform's database. In one embodiment, the test seal can also be sent to an automated medication dispenser.

[0360] The proposed approach is to compare test seal 4000 sent by the user with template seals (not shown) previously stored on the computing platform. Furthermore, the computing platform is capable of generating a compliance score, thereby instructing users on the accuracy of their chosen treatment codes. Template seals are understood to be previously stored data containing the correct treatment codes from the case study 3000 under discussion.

[0361] Therefore, it should be understood that the teachings of this invention can be applied to educational platforms used by both healthcare professionals and other relevant professionals as well as by patients.

[0362] In addition, medical professionals can evaluate the recorded data themselves, watch videos of the procedures they performed, and thereby identify potential areas for improvement.

[0363] Record data R The generation and storage of D-record data are also beneficial to users receiving treatment plans, as this allows them to confirm that the treatment plan is being followed correctly as recommended. Therefore, from the application chain AC, it is possible to track, for example, the history of applications performed for a specific user.

[0364] In this way and based on the previously provided description, it is to be understood that one of the advantages of application chains is the possibility of tracking data associated with treatment plans, thereby serving, for example, as legal support for the generated treatment plans (e.g., for regulatory agencies).

[0365] Therefore, the teachings of this invention are beneficial not only to users receiving treatment plans, but also to companies, for example, that manufacture cosmetic substances, utilizing the methods, systems, and computing platforms proposed in this invention, which can be used to, for example, generate thousands of treatment plans simultaneously. Thus, it should be understood that this invention includes the step of simultaneously generating multiple treatment plans.

[0366] In one embodiment, the teachings of the present invention can be applied, for example, to medical offices (temporary clinics) and / or professional trade fairs in the beauty and / or medical fields, which may include totems and / or supports equipped with a computing platform utilizing the methods described herein. Applying the teachings of the present invention in beauty clinics is also entirely acceptable.

[0367] Once treatment is performed, it may be possible to display representations of the user's face before and after treatment on a computing platform, allowing the user (and / or medical professionals) to assess the effectiveness of these treatments. This display can occur with the user's prior authorization.

[0368] In one embodiment, the effectiveness of the treatment can also be assessed by placing LR reference lines on the user's face. These LR reference lines serve as a reference for evaluating whether a given part of the user is aesthetically and scientifically adequate. For example, the reference lines can be used to assess whether a part of the user is sagging (drooping). Such reference lines RL... Figure 50 As exemplarily shown in the figure.

[0369] Additionally or alternatively, an assessment of processing effectiveness can also be obtained by dividing the user's portion into multiple quadrants and thus assigning an index to each of the multiple quadrants (as described above).

[0370] In effective embodiments of the invention, the application seal and application chain can be read and processed by the augmented reality device. Therefore, it should be understood that the invention proposes a step of associating a treatment plan with an augmented reality environment. In effective embodiments, the step of associating a treatment plan with an augmented reality environment can be understood as the step of applying the treatment plan in the augmented reality environment.

[0371] Augmented reality environments are understood to mean environments that blend real and virtual contexts; thus, by using electronic devices (such as augmented reality glasses), users are able to perceive virtual objects placed within a real context.

[0372] Therefore, for example, augmented reality devices can be used as support and / or training tools related to the implementation of training programs.

[0373] Therefore and refer to Figure 62 By using augmented reality device 1200, a user of this method can receive and view a set of instructions 1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, 2100, 5000, 6000, and 1700' and 1700' associated with the application of a substance to a patient, such that the set of instructions 1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, 2100, 5000, 6000, and 1700' and 1700' are received and viewed by the user in real time, as the user is looking at the patient who will receive the application.

[0374] Therefore, and also refer to Figure 63Using augmented reality device 1200, a user can receive and view a set of instructions that assist professionals during the application process while viewing a patient who will receive the application. These instructions can be understood as graphical, video, audio, or text instructions (or a combination thereof), which can be viewed by professionals using augmented reality device 1200.

[0375] Therefore, a first instruction 1300 can be generated, which indicates the location on the patient's face where the user should make a specific mark.

[0376] It should be understood that the first instruction 1300 is configured to be an instruction generated by a computer (more specifically by the augmented reality device 1200), and it can be viewed by a user using the augmented reality device 1200. Therefore, it should be understood that the first instruction 1300 is an instruction generated and visible in the augmented reality environment.

[0377] More specifically, it is proposed that the first instruction 1300 be overlaid on the patient's representation (e.g., a representation of a photograph of the patient and / or the patient's actual representation) and displayed to the user. The patient's actual representation is understood to mean that, by using the augmented reality device 1200 and viewing the patient's face, the user will see the first instruction 1300 overlaid on the patient's face, thereby allowing the user to directly make necessary markings 1400 on the patient's face, such as... Figure 64 As shown in the image.

[0378] Therefore, it should be understood that the first instruction 1300 is a virtual instruction, while the mark 1400 should be understood as a real mark, that is, a mark actually executed on the patient.

[0379] Furthermore, as from Figure 63 As can be seen, the first instruction 1300 can be understood as a graphic instruction, which is configured to indicate the arrangement of lines at marked locations on the patient's face.

[0380] Along with the display of the first instruction 1300, an additional instruction 1310 can be placed in the augmented reality environment and thus be perceptible to the user. The additional instruction 1310 (the first additional instruction 1310) is configured as a text instruction and instructs the user that a mark needs to be made on the patient's face.

[0381] Therefore, it should be understood that augmented reality environments allow for the visualization of combined instructions, whether these instructions are graphical, textual, video, audio, sensory, or otherwise. In an effective manner, augmented reality environments also allow for the visualization of compliance parameters as described above. Therefore, a user using augmented reality device 1200 can be understood as a trained user, such that compliance parameters are sent from the entity providing the training to device 1200. Therefore, it should be understood that augmented reality devices allow for the sending, receiving, and processing of data. Consistent with the description of the invention, it should also be understood that computing platforms are also capable of sending, receiving, and processing data.

[0382] Now for reference Figure 65 The second instruction 1500 can be displayed to the user and viewed through the augmented reality device 1200. The second instruction 1500 is configured to indicate to the user the upper and lower marker positions of the zygomatic bone border. It should be understood that the second instruction 1500 serves as a reference created in real-time and overlaid on the patient's face, and it facilitates marking by the patient, the markings 1600 in… Figure 66 It is effectively shown in the text.

[0383] Augmented reality devices can be used to generate and display additional instructions to users, such as instructions to clean a part of the user's face or to press / pinch (lift) a part of the user's face.

[0384] refer to Figure 67 The additional instruction referred to in this article as the third instruction 1700 can be viewed by the user and indicates the exact location where the "guide" should be placed via a red circle covering the patient's face. This also allows for the virtual generation of a fourth instruction 1800, which graphically indicates the need to perform circular motion to enlarge the hole, such as... Figure 68 As shown in the diagram. Clearly, references to the red circles should not be considered as limiting features of the invention.

[0385] It should be understood that additional instructions 1710 and 1810 (referred to as the second and third additional instructions) can be combined with the third instruction 1700 and the fourth instruction 1800, respectively, the additional instructions 1710 and 1810 indicating in text form the actions that the user of the method must perform.

[0386] Now for reference Figure 69 This can generate a fifth instruction 1900, which instructs the positioning steps of an application element (such as a sleeve).

[0387] Subsequently, the sixth instruction 2000 can be generated, such as... Figure 70As shown, this indicates the need for the application of a substance. In this case, it is proposed that the sixth instruction 2000 be understood as a virtual illustration of one of the application seals as part of the patient's treatment plan. Thus, a user using the augmented reality device 1200 will virtually view the application seal containing all instructions related to the application.

[0388] During application, additional instructions 2010 and 2020 can be generated to assist the user in applying the substance. These instructions can refer, for example, to guidance on applying the substance (instruction 2010) and to a virtual dispenser 2020 for the amount of substance already injected. Additional instructions 2010 and 2020 can be understood as the fourth and fifth additional instructions, respectively.

[0389] In addition, augmented reality devices can be used to play audio instructions to professionals, for example and for reference. Figure 70 The audio instructions can comment on the information contained in the application seal, and thus the audio instructions can reproduce the following statement: "Using a total of 0.5 ml of linear retrograde technique, hyaluronic acid (VM) is injected into Ck1 in the lower layer of SMAS."

[0390] It should be noted that any instructions generated and displayed by the augmented reality device 1200 can be configured as audio instructions. Furthermore, it should be noted that a given instruction can be generated either graphically (e.g., text, video, or via arrows, circles, etc.) or as audio. Therefore, professionals can both see and hear these instructions.

[0391] Once the application is complete, additional instructions can be generated for user visualization, such as removing the cannula, stopping any bleeding, confirming the actual volume of the applied substance, and cleaning the application area.

[0392] It should be noted that any instruction submitted above can be understood as part of a set of instructions generated by the augmented reality device 1200. In other words, any instruction submitted above should be understood as a virtual instruction, i.e. an instruction that can be perceived in the augmented reality environment.

[0393] Furthermore, any instruction submitted above can be understood as part of a set of instructions that can be directly displayed on the screen of a computing platform.

[0394] Additional features of the present invention relating to the use of the augmented reality device 1200 include the possibility of using dissection tools.

[0395] In summary, anatomical tools enable professionals (users of the method) to examine a patient's anatomical structures relevant to the application in question at any time, such as before performing a procedure.

[0396] Therefore, by using the augmented reality device 1200, the graphic indicator 2100 (also known as the seventh instruction) can be placed on the patient's face and thus seen by the user of the method, such that the graphic indicator 2100 can represent the patient's artery.

[0397] Figure 72 This is a graphic indicator 2100 placed on the patient's face; here, the external carotid artery and the facial artery with its submental branch (submental branch) can be seen. The inferior and superior labial arteries may also be visualized, followed by the transverse and angled nasal arteries.

[0398] The proposal is that, during the application of substances, professionals can examine the patient's relevant anatomical structures at any time to consider the resulting treatment plan.

[0399] In one embodiment, the representation of the graphical indication 2100 involving the patient's anatomical structures can be viewed by a professional via an augmented reality device by means of a displayed video; in this way, the video can sequentially display the aforementioned arteries.

[0400] In one embodiment, the graphic indicator 2100 may be configured to display a solid line in red representing the patient's artery, such that the graphic indicator should be superimposed on the patient's face for easy viewing by a medical professional. In another embodiment, the graphic indicator may be virtually placed on the patient's actual face, and the user will virtually view the graphic indicator 2100 when looking at the patient, using an augmented reality device. In an equally effective embodiment, the graphic indicator 2100 may be placed over a photograph and / or video of the patient.

[0401] Furthermore, it should be understood that the graphic indicator 2100 is a virtual graphic indicator, that is, a graphic indicator that is visualized in an augmented reality environment and by using an augmented reality device.

[0402] Consistent with the foregoing description, the present invention also describes a computational system for consultation, diagnostic assessment, and financial planning linked to treatment plans. It should be understood that the system is capable of performing all steps of the described methods using a computing platform.

[0403] Therefore, users can interact with the computing platform and thus perform the steps of the method.

[0404] Therefore, it should be understood that the computing platform includes an input block 31 configured to receive user information, a memory, a processor, and a comparator module that performs the comparison and thereby evaluates whether cosmetic processing is required.

[0405] Therefore, based on the described teachings, it should be understood that the present invention can be implemented in mobile applications of electronic devices such as mobile phones.

[0406] Furthermore, it should be understood that the teachings of this invention can be applied using augmented reality devices.

[0407] Furthermore, as described, the present invention is also based on the use of servers that communicate with computing platforms, such as servers deployed in the cloud.

[0408] Therefore, it should be understood that the present invention also covers a non-transitory computer-readable medium comprising a set of instructions capable of performing the steps of the aforementioned method and performing the functions of the system.

[0409] Finally, and according to the teachings of the present invention, the step of scanning at least a portion of the user on a computing platform results in obtaining an aesthetic indicator, which may assume a therapeutic or non-therapeutic state.

[0410] As stated above, it is understood that it is assumed that the aesthetic indicator of the processing state leads to the acquisition of a treatment code. Furthermore, the aesthetic indicator can be obtained in various ways, such as by segmenting the user's face into multiple quadrants and assigning an index (value) to each quadrant or a set of quadrants, as previously described.

[0411] Finally, the step of scanning at least a portion of the user on a computing platform can be performed based on the facial layers H1, H2, H3, H4, and H5 previously proposed in patent US 11602303. It should be noted that scanning the face based on these layers should not be considered a limiting feature of the invention, making it perfectly acceptable to perform scans unrelated to the layers.

[0412] It is worth noting that the teachings of this invention can be adopted by anyone, such as an individual wishing to receive a treatment plan including specific treatment codes. Therefore, the teachings of this invention are beneficial to users who wish to receive treatments such as cosmetic procedures. In any case, it should be noted that the teachings of this invention are not limited to cosmetic treatment plans.

[0413] Furthermore, the teachings of this invention can also be adopted by healthcare professionals, such as those in the field of beauty and wellness. Obviously, medical professionals can also draw upon the teachings of this invention; however, it should be emphasized that the teachings described herein can be adopted by anyone, and that person does not necessarily have to be a doctor.

[0414] Similarly, managers of health, beauty, and medical companies can also benefit from the teachings of this invention.

[0415] The professionals who will perform the treatment must be qualified professionals authorized to perform the procedures in accordance with the regulatory standards of each country. The system may include information on the regulations of each country.

[0416] Furthermore, it should be understood that the present invention also covers systems capable of performing the methods.

[0417] Furthermore, regarding the final acquisition of the treatment plan (i.e., the generation of the treatment plan), it is proposed that the described method provide users with options, including simulations of the aging process and simulations of possible post-treatment outcomes, such as... Figure 58 and 61 As shown (these can be generated, for example, through artificial intelligence), this identifies inconsistencies and inconsistencies between subjective (impulsive) and graphical (objective) assessments performed by the user and assessments performed from facial scans. Therefore, the method described in this invention proposes the steps of asking the user, based on the areas of interest to the patient, whether they wish to continue with subjective and graphical assessments or continue with assessments performed from scanned faces and / or bodies.

[0418] Therefore, the method described in this invention further includes the step of prioritizing the processing of at least one of the final set of aesthetic data, the final set of emotional data, the final set of social data, and the user's facial scan in the treatment plan.

[0419] It should be noted that, if requested by the user, the final set of aesthetic data, the final set of emotional data, and the final set of social data can be ignored in the generation of the treatment plan, and only the treatment plan generated based on the user's facial and / or body scans will be prioritized.

[0420] Furthermore, the teachings of this invention allow for before-and-after simulations of specific parts of a user (such as their face and / or body), as well as simulations of the aging process of both the face and body.

[0421] It should also be noted that the teachings of this invention can be applied to any part of the user, whether it is the user's face, the user's body, or any other part of the user.

[0422] Finally, it should be understood that, according to the teachings of the present invention, a treatment plan can be generated from an application seal, and an application seal can be generated from a treatment plan.

[0423] Based on the provided description, it should be understood that the teachings of this invention can be used by users from any location, thereby eliminating geographical and communication barriers and adapting to different administrative and legal rules within a single computing platform.

[0424] Furthermore, as described, the teachings of this invention can be used not only for personalized treatment planning, but also for personalizing the training of professionals based on their experience level, expertise, and individual needs.

[0425] Furthermore, through the compliance parameters already described, this invention allows for the provision of immediate feedback related to the application of the substance, thereby enabling the identification of areas for improvement and providing specific guidance to help injectors enhance their skills.

[0426] In addition, certifications can also be conducted within the platform described in this article and awarded to injectors who successfully complete courses or programs on the platform, increasing the value of their resumes and helping to validate their skills.

[0427] In one embodiment, the teachings of the present invention can be used in the form of a computing platform serving as a virtual laboratory, allowing users to practice their skills and procedural techniques in simulated environments, such as using AI-generated avatars as patients (case studies) and using any other form of testing model (e.g., using photos and videos of people). Therefore, the teachings of the present invention provide a practical learning experience, further enabling the application of testing in augmented reality environments, thereby allowing users to improve their skills and build confidence in performing beauty procedures safely and effectively.

[0428] Consistent with the provided description, the teachings of this invention incorporate financial planning tools to estimate treatment costs, outline payment options, and facilitate transparent communication regarding pricing and financial responsibility. Users can explore different financing options and budgeting strategies to make informed decisions about their cosmetic treatments.

[0429] A significant advantage of the teachings presented in this paper is the ability to detect errors that the injector may make during injection. These errors are rapidly captured and transmitted (e.g., via methods described above). R (D-record data), thus serving as a valuable database for injectors' operations. By highlighting areas for improvement, training, or further research, this feedback mechanism allows injectors to more effectively improve their skills and gain experience.

[0430] Furthermore, the teachings of this invention can also be used as immersive reality tools (virtual reality and / or augmented reality), allowing users to practice technical skills in realistic virtual environments. These simulations can replicate treatment rooms, equipment, and interactions with patients, providing a safe and controlled environment for users to improve their skills and build confidence. Whether learning new code or improving existing skills, this invention supports users by providing visual overlays, anatomical landmarks, and step-by-step instructions tailored to the user, as previously described and with reference to a set of instructions 1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, 2100, 5000, 6000, and 1700', as well as compliance parameters. It should be understood that this set of instructions can be displayed directly on a computing platform and / or via an augmented reality device. The same applies to the compliance parameters.

[0431] Based on the description provided, it should be understood that the teachings of this invention are at least beneficial to professionals in the health / beauty field, such as professionals managing injectable substances, to the general public wishing to receive treatment programs, to cosmetic and / or pharmaceutical companies, and to students, educational institutions, and users wishing to receive (or provide) some type of training.

[0432] Consistent with the foregoing description, the present invention also proposes a device 30 capable of performing the steps of the method. In one embodiment, the device 30 may be understood as a mobile phone, tablet computer, television, kiosk, or any other equivalent device.

[0433] As described, device 30 includes at least one processor, display, camera, and memory. As previously stated, these components can be understood as input block 31 of device 30. It should be understood that device 30 is capable of performing any step of the proposed method.

[0434] Therefore, in summary, device 30, through its input block 31, is capable of receiving multiple general input data from the user and generating processing identifier codes from the multiple general input data. Device 30 is also capable of collecting multiple consultation data related to the user and additionally scanning (e.g., through the device's camera) at least a portion of the user's face. Thus, device 30, through its processor, is capable of generating a treatment plan from the scan of the user's face.

[0435] As already mentioned, the device 30 proposed in this invention is capable of performing any step of the proposed method. Therefore, it should be understood that the device 30 is capable of segmenting a portion of a user (e.g., the user's face) into multiple quadrants and assigning at least one index to at least one of the multiple quadrants.

[0436] Therefore, it should be understood that device 30 can also define the user's monitoring section, consideration section, and processing section, such that these sections are defined by the aforementioned aesthetic change index.

[0437] It should be understood that device 30 is also able to obtain at least one treatment code by scanning the user's face and display the treatment code on the device's screen.

[0438] In addition, device 30 is also capable of generating, sending, receiving, processing, and displaying at least one application seal S1, S2, S3, S4...SN associated with the user. The characteristics of application seals S1, S2, S3, S4...SN have already been described above.

[0439] As already described, in one embodiment, the application seals S1, S2, S3, S4...SN can be displayed on the screen of device 30. Furthermore, the application seals S1, S2, S3, S4...SN can be sent from device 30 to an automated applicator.

[0440] Consistent with the description provided above, the device 30 proposed in this invention, through its processor, is also capable of generating an application chain from a group of application seals S1, S2, S3, S4...SN associated with a user. As previously mentioned, the application chain AC can also be sent from the device 30 to the automated applicator.

[0441] It should also be understood that the proposed device 30 is capable of storing data in and / or in the application seals S1, S2, S3, S4...SN and in the application chain AC, for example, storing at least one record data in the application seal and / or in the application chain. R D.

[0442] The device 30 proposed in this invention is capable of performing any step of the described method. Therefore, the device 30 described in this invention is capable of generating graphical representations for professionals, wherein these representations are generated using artificial intelligence, enabling the device 30 to also interact with users, such interaction being performed, for example, through graphical representations.

[0443] As already described, the device 30 proposed in this invention is also capable of associating treatment plans with augmented reality environments.

[0444] Therefore, it should be understood that the present invention also describes a device 30 capable of generating treatment plans.

[0445] The present invention also describes an automated drug applicator capable of communicating with the device 30 proposed in the present invention. Thus, the automated drug applicator is able to communicate, for example, with the mobile device 30 that performs the steps of the method proposed in the present invention.

[0446] The automated applicator can be understood as an applicator of aesthetic substances, such as injectable substances. Therefore, according to the description provided above, the automated applicator is capable of receiving application seals S1, S2, S3, S4...SN, and thereby performing the reading (processing) of the application seals S1, S2, S3, S4...SN.

[0447] In one embodiment, the transmission of application seals S1, S2, S3, S4...SN from device 30 (mobile phone, computer, or any other equivalent device) to the automated applicator can be made via an internet connection; in any case, any transmission embodiment using a communication protocol is acceptable. The reading of application seals S1, S2, S3, S4...SN by the automated applicator should be understood as the automated applicator processing (computer processing) the application seals S1, S2, S3, S4...SN. Therefore, it should be understood that the automated applicator includes at least one processor and memory.

[0448] Therefore, upon receiving the application seals S1, S2, S3, S4...SN, the robotic arm of the automated drug dispenser will move, thus transitioning from a static (stationary) state to a moving state. It should be understood that the robotic arm of the automated drug dispenser is associated with a substance injection device (e.g., a syringe).

[0449] In one embodiment, the automated applicator may be located in a different geographical location than the device 30.

[0450] In one embodiment, the automated applicator is able to read and process each of the data elements that constitute the application seal and perform the application of the substance based on the data provided on the application seal.

[0451] It is also important to understand that automated applicators are able to read and process information contained in the application chain AC.

[0452] Therefore, it should be understood that the present invention also proposes an automated applicator associated with device 30, which is capable of performing the steps of the proposed method.

[0453] Preferred embodiments have been described, and it should be understood that the scope of the invention includes other possible variations, defined only by the contents of the appended claims and any possible equivalents included therein.

Claims

1. A computer method for consultation, diagnostic assessment and financial planning for generating a treatment plan related to a user, characterized in that, Includes the following steps: On the computing platform, multiple general input data are received from a given user. From the multiple general input data, a treatment identifier code is generated. Collect multiple consultation data related to the user. On the computing platform, at least a portion of the user is scanned, and The treatment plan is generated from at least a portion of the scan of the user.

2. The method according to claim 1, characterized in that, It also includes the following steps: From the user's impulse representation, at least one first set of beauty user data is obtained. From the user's graphical representation, at least a second set of beauty user data is obtained. In the comparator module, the consistency between each of the beauty data in the first set of beauty data and the second set of beauty data is evaluated. If no consistency is detected, a perceptible indication is sent to the user, prompting the user to input the final set of beauty data through the computing platform. Alternatively, If consistency is detected, a perceptible representation is sent to the user, and the first set of beauty data and the second set of beauty data are converted into the final set of beauty data.

3. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: From the first set of beauty data, obtain the first set of emotional user data. From the second set of beauty data, we obtain the second set of emotional user data. In the comparator module, a consistency is evaluated between each sentiment data point from the first set of sentiment data and each sentiment data point from the second set of sentiment data. If no consistency is detected, a perceptible representation is sent to the user; alternatively, If consistency is detected, a perceptible representation is sent to the user, and the first set of sentiment data and the second set of sentiment data are converted into a final set of sentiment data.

4. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: From the social blocks, obtain multiple favorable social data points and multiple unfavorable social data points associated with the user. The multiple favorable social data and the multiple unfavorable social data are combined into a final set of social data.

5. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: A difficulty index is generated based on at least the evaluation of the final set of beauty data, the final set of emotional data, and the final set of social data. The difficulty index is displayed to the user through the computing platform. The method further includes at least one of the following steps: The system suggests to the user multiple medication providers associated with the obtained difficulty index, wherein these multiple medication providers are segmented between professional medication providers and automated medication providers. Based on predetermined criteria, multiple medication providers are suggested to the user, wherein the predetermined criteria are at least one of the following: the user's location, the user's native language, and The user is advised to recommend multiple qualified medication providers in a particular procedure.

6. The method according to any one of the preceding claims, characterized in that, The step of scanning at least a portion of the user through the computing platform further includes the following steps: scanning the portion of the user in a horizontal and vertical manner, and also taking into account the user's frontal portion, tilted portion, and contour portion. The scanning step also includes the step of segmenting the user's portion into multiple fragments.

7. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: The scan of a portion of the user is associated with at least one of a plurality of positive virtual social data, a plurality of negative virtual social data, and a set of virtual sentiment data associated with the user, wherein the associating step further includes the step of scanning a portion of the user and generating an alert indication for each virtual sentiment data considered.

8. The method according to any one of the preceding claims, characterized in that, The step of scanning at least a portion of the user on the computing platform further includes the following steps: The user segment is divided into multiple quadrants. Assign at least one index to at least one of the plurality of quadrants, and A beauty indicator is generated from the segmentation of the user's portion in the multiple quadrants.

9. The method according to any one of the preceding claims, characterized in that, The step of scanning at least a portion of the user on the computing platform further includes the step of performing a dynamic scan of the user via the computing platform, wherein the step of performing a dynamic scan of the user further includes the following steps: Comparing the user experience in a static state and in a dynamic state, Mirroring at least a portion of the user, wherein the step of mirroring at least a portion of the user further includes at least comparing a first image of the user with a second image of the user, and The final image is identified based on a comparison between the user's first image and the user's second image.

10. The method according to any one of the preceding claims, characterized in that, The step of comparing the user portion in a static state and in a dynamic state further includes the following steps: For each comparison performed, the beauty indicator is generated, wherein the beauty indicator assumes at least one treated state and one non-treated state, and wherein the method further includes the following steps: If the beauty tag assumes a treatment status, then at least one treatment code is obtained and stored.

11. The method according to any one of the preceding claims, characterized in that, The step of comparing the user portion in a static state and in a dynamic state further includes the following steps: A static index and a dynamic index are assigned to each user segment, the static index being associated with the static state and the dynamic index being associated with the dynamic state. Compare the static index and the dynamic index for each user segment. Based on the comparison between the static index and the dynamic index, an assessment is made to determine whether there are any positive or negative changes in cosmetic appearance. If a negative change in appearance is detected, the step of assigning the treatment status to the beauty indicator is performed, and... If a positive change in appearance is detected, the step of assigning a non-treatment state to the beauty indicator is performed.

12. The method according to any one of the preceding claims, characterized in that, The step of scanning at least a portion of the user on the computing platform further includes at least one of the following steps: Compare at least a portion of the users with at least a portion that is considered ideal, and For each comparison performed, the beauty indicator is generated, wherein the beauty indicator assumes at least the treated state and the non-treated state, and wherein the method further includes the following steps: If the beauty indicator assumes the treatment state, then at least one treatment code is obtained and stored.

13. The method according to any one of the preceding claims, characterized in that, The step of comparing at least a portion of the users with at least a portion that is considered ideal further includes the following steps: For each user segment, real beauty data is compared with beauty data deemed ideal, wherein the beauty data deemed ideal is data previously stored in the computing platform, and wherein the beauty data deemed ideal is obtained from at least one of the following forms: clinical tests provided by the computing platform itself or proposed by artificial intelligence tools associated with the computing platform, wherein: The beauty data considered ideal is associated with a specific ethnicity and age group associated with the user, and the method further includes the following steps: Based on ideal learning beauty data, update the beauty data that is considered ideal.

14. The method according to any one of the preceding claims, characterized in that, The step of scanning at least a portion of the user on the computing platform further includes at least one of the following steps: Define the user monitoring section. Define the user segments to be considered. Define the user treatment section. Among them, from the beauty change index ( ) to obtain the user portion to be monitored, considered, and treated, wherein the cosmetic change index ( It is obtained from the following expression: ,in: It should be understood as the ideal beauty index, and It should be understood as a true beauty index.

15. The method according to any one of the preceding claims, characterized in that, It also includes the step of obtaining at least one treatment code from the step of scanning at least a portion of the user, and The treatment code is displayed in the user section, and the method further includes the following steps: for each obtained treatment code, the relevant dosage is also obtained, and The relevant doses are displayed on the computing platform.

16. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: From the treatment code, at least one application seal (S1, S2, S3, S4...SN) is generated that links to the user, wherein the application seal (S1, S2, S3, S4...SN) includes at least: Treatment code data, Product application data, An application layer data, Application device data, Application pattern data, Active quantity data, The application seal is configured as at least one of the following: a machine-readable application seal and a user-readable application seal.

17. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: From the application seal (S1, S2, S3, S4...SN), the treatment plan is generated, wherein the treatment plan includes treatment data, wherein the treatment data represents at least one of the following: Data on the number of treatment sessions Treatment cost data Data indicating the person responsible for implementing the treatment plan. The method further includes the following steps: Assess whether there are any user objections regarding the processing of at least one piece of data, where, If challenges exist, the steps of receiving updated data from the user and generating an updated treatment plan are performed, and If there are no objections, proceed with the steps to implement the generated treatment plan.

18. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: On the computing platform, input data related to at least one of cost data and treatment session count data is received. A treatment plan is generated based on at least one of the cost data and the number of treatment sessions.

19. The method according to any one of the preceding claims, characterized in that, The steps of generating a treatment plan also include at least one of the following steps: Generate and display the application seal linked to the treatment plan. An application chain (AC) is generated from a group of sealed application packages linked to a specific user, wherein the application chain also includes at least one of the treatment identifier code and the treatment cost data.

20. The method according to any one of the preceding claims, characterized in that, The application seal is divided into at least a first part and a second part, wherein each part includes the same amount of data, wherein the treatment code data is summarized by a warning light.

21. The method according to any one of the preceding claims, characterized in that, It also includes at least one of the following steps: Send the application seal and at least one of the application chains to the automated applicator, and The application seal and at least one of the application chains are sent to a professional applicator.

22. The method according to any one of the preceding claims, characterized in that, It also includes at least one of the following steps: The application chain is recorded, regardless of whether the application is performed by the automated applicator or the professional applicator, and Generate at least one record data (RD), and The record data (RD) is stored in the application chain (AC).

23. The method according to claim 22, characterized in that, The treatment plan includes at least one applied action (AP1, AP2, AP3...APN), and the method further includes at least one of the following steps: For each application action (AP1, AP2, AP3...APN) present in the treatment plan, the record data (RD) is generated. For each application action (AP1, AP2, AP3...APN) present in the treatment plan, generate the cost data (CD).

24. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: Generate graphical representations of professionals, wherein the graphical representations are generated using artificial intelligence, and Interaction occurs between the user and the computing platform, wherein the interaction is performed by the graphical representation generated using artificial intelligence.

25. The method according to any one of the preceding claims, characterized in that, The graphical representations generated using artificial intelligence are graphical representations of medical professionals (100) and / or multidisciplinary graphical representations (200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100).

26. The method according to any one of the preceding claims, characterized in that, The multidisciplinary graphical representation (200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100) is configured to be at least one of the following: The first multidisciplinary graphical representation for biomedical professionals (200). The teacher's second multidisciplinary graphical representation (300). The third multidisciplinary graphical representation of nurses (400). The fourth multidisciplinary graphical representation for pharmacists (500). The fifth multidisciplinary graphical representation for accounting professionals (600). The sixth multidisciplinary graphical representation for marketing professionals (700). The seventh multidisciplinary graphical representation of product consultants (800). The eighth multidisciplinary graphical representation for business managers (900). The ninth multidisciplinary graphical representation of digital influencers (1000), and The tenth multidisciplinary graphical representation of lawyers (1100).

27. The method according to any one of the preceding claims, characterized in that, It also includes the following steps: Associate the treatment plan with an augmented reality environment, wherein the step further includes: Generate a set of instructions (1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, and 2100) linked to the application of a substance to the patient, wherein the set of instructions (1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, and 2100) is perceptible in at least one augmented reality environment and is perceptible through the computing platform.

28. The method according to claim 27, characterized in that, The set of instructions (1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020, and 2100) includes at least one graphic instruction (1300, 1500, 1700, 1800, 2000, 2010, 2020) such that the graphic instruction (1300, 1500, 1700, 1800, 2000, 2010, 2020) is arranged to be superimposed on the patient's representation.

29. The method according to claim 28, characterized in that, The set of instructions (1300, 1310, 1500, 1700, 1800, 1710, 1810, 1900, 2000, 2010, 2020 and 2100) includes at least one instruction (2000) configured as a virtual representation of one of the application seals (S1, S2 ... SN).

30. A computing system for obtaining a treatment plan relevant to a user, characterized in that, The system includes a computing platform (30) equipped with a processor, which is capable of receiving a set of instructions that, when executed, perform the steps of the method as defined in claim 1.

31. A computer-readable storage device, characterized in that... It includes a set of instructions that, when executed, perform the steps of the method as defined in claim 1.

32. A computing platform (30) including a processor, characterized in that, The processor is capable of receiving a set of instructions, which, when executed, perform the steps of the method as defined in claim 1.

33. A computer method for consultation, diagnostic assessment, and financial planning, characterized in that it generates a user-related treatment plan. Includes the following steps: On the computing platform, multiple general input data are received from a given user. From the multiple general input data, a treatment identifier code is generated. Collect multiple consultation data related to the user. On the computing platform, at least a portion of the user is scanned, and The treatment plan is generated from at least a portion of a scan of the user, and The treatment plan is linked to an augmented reality device.

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