Cloud platform-based maxillofacial solution recommendation method and system

Abstract

The invention relates to the technical field of maxillofacial correction, in particular to a maxillofacial solution recommendation method and system based on a cloud platform, and the method comprises the steps: obtaining maxillofacial device wearing data of a first object, generating at least one first maxillofacial adjustment scheme according to the wearing data difference between the actual wearing data and the recommended wearing data; generating a first absorption index of the first object according to the maxillofacial type and / or the medical background index; searching historical execution effects of a plurality of second objects corresponding to the first absorption index from the second database; correspondingly generating the execution difficulty index according to the historical execution effect; and outputting a second maxillofacial adjustment scheme through at least one first maxillofacial adjustment scheme according to the execution difficulty index. According to the method, the efficiency of the maxillofacial correction process can be greatly improved through targeted recommendation of the maxillofacial solution, and the user experience is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of orthodontics, in particular to a jaw and face solution recommendation method and system based on a cloud platform. BACKGROUND

[0002] The existing patient tooth correction state can be obtained in three ways: the first is that the patient goes to the hospital, and the doctor checks the patient's teeth on site to detect the correction state of the patient's teeth; the second is that the patient goes to the hospital, uses a plaster model to bite the patient's teeth, or uses a professional oral scanner to model the patient's teeth to obtain a three-dimensional scanning model of the patient's teeth; the third is that the patient uses a mobile phone, camera, etc. to take pictures of his own teeth, and then sends the photos to the doctor. At present, the prior art tries to propose some methods to improve the accuracy of the jaw and face adjustment scheme.

[0003] For example, patent application CN116525056A discloses a personalized facial development management method and computer readable storage medium, the method comprising the following steps: determining a set of facial feature values based on the current oral and facial morphology data of the management object, the set of facial feature values including each parameter value of a two-dimensional facial parameter matrix; determining a combination of mandibular movement strategies based on the set of facial feature values; determining a combination of tooth movement strategies based on the mandibular movement strategies and the set of facial feature values; and formulating a next-stage facial development management scheme based on the combination of mandibular movement strategies, the combination of tooth movement strategies, and the set of facial feature values.

[0004] For another example, patent application CN115553947A discloses an embedded tooth auxiliary traction device, method and system for the oral and maxillofacial exterior, the device comprising: a traction part and a fixing part; the present application acquires the traction path of the embedded tooth by collecting the embedded position of the embedded tooth and according to the target position of the embedded tooth in orthodontic treatment; according to the embedded position and the traction path, a traction point is set on the oral and maxillofacial exterior and connected with the traction buckle of the embedded tooth through an elastic connecting piece; according to the target position, the embedded tooth is tractioned to the target position according to the traction path by continuously applying traction force through the elastic connecting piece, wherein the elastic connecting piece is used to represent a connecting component with adjustable force.

[0005] For another example, patent application CN120340811A discloses an orthodontic auxiliary decision-making method based on fuzzy comprehensive evaluation and its operation system, which is used to provide personalized orthodontic treatment plan. The specific steps include: first, comprehensively analyzing the key factors affecting the orthodontic treatment effect, screening the representative evaluation indexes, and constructing the evaluation system of orthodontic treatment decision; then, using the analytic hierarchy process and entropy weight method to calculate the subjective weight and objective weight respectively, and combining with the game theory to optimize the weight distribution to obtain the comprehensive weight of each index; finally, based on the fuzzy comprehensive evaluation method, constructing the trapezoidal membership function, establishing the fuzzy relation matrix, and determining the best treatment plan through the maximum membership degree principle.

[0006] However, since the jaw and face correction often needs to undergo long-term treatment, the existing treatment plan still faces many difficulties in the application process. SUMMARY

[0007] The purpose of the present application is to provide a jaw and face solution recommendation method and system based on a cloud platform, which partially solves or alleviates the above-mentioned deficiencies in the prior art, and can improve the scene adaptability of the jaw and face adjustment scheme.

[0008] In order to solve the above-mentioned technical problems, the present application specifically adopts the following technical solutions: The first aspect of the present application is to provide a jaw and face solution recommendation system based on a cloud platform, wherein the cloud platform is connected with a first database and a second database. The first database is used to record the first information of a first object, and the first information includes the jaw and face type and medical background information. The second database is used to record the second information of a second object, and the second information includes the jaw and face type, the medical background information and the historical execution effect. Correspondingly, the system includes: a wearing data acquisition module, configured to acquire the jaw and face device wearing data of the first object, wherein the jaw and face device wearing data includes actual wearing data and recommended wearing data; a first adjustment scheme generation module, configured to generate at least one first jaw and face adjustment scheme according to the wearing data gap between the actual wearing data and the recommended wearing data, wherein the wearing data gap includes at least one of wearing time difference, wearing intensity difference and wearing method difference; an execution difficulty calculation module, configured to calculate the execution difficulty index of at least one first jaw and face adjustment scheme relative to the first object, wherein the execution difficulty calculation module includes: a first sub-module, configured to acquire the jaw and face type and medical background index of the first object from the first database, and the medical background index is determined by the medical background information; a second sub-module configured to generate a first absorption index of the first subject according to the jaw-face type and / or the medical background index; a third sub-module configured to find, from the second database, historical execution effects of a plurality of second subjects corresponding to the first absorption index, the historical execution effects being execution success degrees of the second subjects after adjustment according to corresponding first jaw-face adjustment schemes; a fourth sub-module configured to generate the execution difficulty index according to the historical execution effects; a second adjustment scheme generation module configured to output a second jaw-face adjustment scheme through at least one of the first jaw-face adjustment schemes according to the execution difficulty index.

[0009] In some embodiments, the system is configured to: enter an execution difficulty calculation module when the wearing data gap between the actual wearing data and the recommended wearing data is greater than a preset gap.

[0010] In some embodiments, the medical background information includes at least one of patient personal medical history information, family member medical background information, and survey questionnaire feedback results.

[0011] In some embodiments, the system is configured to: update the first absorption index according to the adjustment effect; including: if the execution effect and the treatment effect in the adjustment effect are both greater than or equal to a preset execution effect and a preset treatment effect, respectively, increase the first absorption index; if at least one of the execution effect and the treatment effect in the adjustment effect is less than the preset execution effect and the preset treatment effect, respectively, maintain the first absorption index.

[0012] In some embodiments, the execution effect is an execution success degree of the first subject after adjustment according to a corresponding first jaw-face adjustment scheme or a second jaw-face adjustment scheme.

[0013] In some embodiments, the system is configured to: obtain first jaw-face data of the first subject before at least one course of treatment and second jaw-face data after the course of treatment; calculate a difference between the second jaw-face data and the first jaw-face data to obtain jaw-face data difference; determine the treatment effect according to the jaw-face data difference.

[0014] In some embodiments, the system is configured to: selecting a recommended adjustment range according to the execution difficulty index, the recommended adjustment range being used to limit a recommended adjustment attribute type; selecting a matched second orthognathic adjustment scheme from at least one of the first orthognathic adjustment schemes according to the recommended adjustment range.

[0015] In some embodiments, the attribute type includes one or more of the following: left end pulling force, right end pulling force, intraoral anchorage position, wearing angle.

[0016] In a second aspect, the present application provides a cloud platform-based orthognathic solution recommendation method, the cloud platform being connected to a first database and a second database, the first database being used to record first information of a first subject, and the first information including: orthognathic type and medical background information, the second database being used to record second information of a second subject, and the second information including: the orthognathic type, the medical background information and historical execution effect; correspondingly, the method includes: S101, obtaining orthognathic device wearing data of a first subject, wherein the orthognathic device wearing data includes: actual wearing data and recommended wearing data; S102, generating at least one first orthognathic adjustment scheme according to a wearing data gap between the actual wearing data and the recommended wearing data; wherein the wearing data gap includes at least one of the following: wearing time gap, wearing intensity gap, and wearing method gap; S103, calculating an execution difficulty index of at least one of the first orthognathic adjustment schemes relative to the first subject; wherein S103 includes the following steps: S1031, obtaining orthognathic type and medical background index of the first subject from the first database, and the medical background index being determined by medical background information; S1032, generating a first absorption index of the first subject according to the orthognathic type and / or the medical background index; S1033, finding historical execution effects of a plurality of second subjects corresponding to the first absorption index from the second database, the historical execution effect being an execution success degree of the second subject after adjustment according to the corresponding first orthognathic adjustment scheme; S1034, generating the execution difficulty index according to the historical execution effect; S104, outputting a second orthognathic adjustment scheme through at least one of the first orthognathic adjustment schemes according to the execution difficulty index.

[0017] In some embodiments, the method includes: S103 is performed when the wearing data gap between the actual wearing data and the recommended wearing data is greater than a preset gap.

[0018] Beneficial technical effects: Firstly, the present application takes the first absorption index as the standard for user group division, i.e. taking the historical execution effect of the second object with the same first absorption index as the reference of the execution difficulty index of the first object, which is beneficial to providing more accurate judgment basis for the scheme optimization and execution difficulty prediction of the first object, and improving the adaptability between the jaw face solution and the user.

[0019] Secondly, the present application sets an absorption index updating mechanism based on double factors (i.e. execution effect and treatment effect), which specifically includes at least the following two meanings: 1) when the execution effect and / or treatment effect are greater than a preset value, i.e. the adjustment effect is good, the current jaw face adjustment scheme can be ensured to always adapt to the current cognitive state and treatment state of the user by correspondingly increasing the absorption index; 2) the correctness of the jaw face adjustment scheme is verified in reverse based on the dynamic changes of the execution effect and / or treatment effect, which is helpful for the subsequent optimization of the scheme recommendation.

[0020] Thirdly, the present application provides an automatic recommended scheme for the restrictive recommendation of the jaw face adjustment scheme of the patient based on the self background (such as the jaw face type and medical background) of the patient and the coincidence of the patient's same kind of people (such as other patients with similar jaw face type or medical background), which focuses on limiting the adjustment range of the jaw face adjustment scheme to avoid introducing new problems due to improper operation of the patient and further weakening the treatment effect on the basis of allowing the patient to make a certain degree of self adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. In all the drawings, similar elements or parts are generally identified by similar reference signs. In the drawings, each element or part is not necessarily drawn according to the actual proportion. Obviously, the drawings described below are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without any creative labor.

[0022] Figure 1 A flowchart of a jaw face solution recommendation method based on a cloud platform provided by an embodiment of the present application; Figure 2 Another flowchart of a jaw face solution recommendation method based on a cloud platform provided by an embodiment of the present application; Figure 3A side view of a user performing a maxillofacial adjustment scheme according to an embodiment of this application; Figure 4 A partial schematic diagram illustrating a user performing a maxillofacial adjustment scheme according to an embodiment of this application; Figure 5 A frontal view of a user performing a maxillofacial adjustment scheme according to an embodiment of this application; Figure 6 This application provides a schematic diagram of the structure of a cloud-based maxillofacial solution recommendation system according to one embodiment. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0024] In this document, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" may be used interchangeably.

[0025] In this document, the terms "upper," "lower," "inner," "outer," "front," "rear," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0026] In this document, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0027] In this document, "and / or" includes any and all combinations of one or more of the listed related items.

[0028] In this article, "multiple" means two or more, that is, it includes two, three, four, five, etc.

[0029] As used in the present specification, the term "about", "approximately" or "around" typically means + / -5% of the stated value, more typically + / -4% of the stated value, more typically + / -3% of the stated value, more typically + / -2% of the stated value, even more typically + / -1% of the stated value, and even more typically + / -0.5% of the stated value.

[0030] In the present specification, certain embodiments can be disclosed in one format in terms of a range. It is to be understood that such "in terms of a range" descriptions are for the convenience and brevity and should not be construed as a rigid limitation on the scope of the disclosed ranges. Accordingly, a range description should be considered to have specifically disclosed all possible sub-ranges and individual numeric values within that range. For example, a range of 1-6 should be considered to have specifically disclosed sub-ranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6, etc., as well as individual numbers within that range, such as 1, 2, 3, 4, 5, and 6. The above rule applies regardless of the breadth of the range.

[0031] Example One: See Figure 1 and Figure 2 The present application provides a jaw-face solution recommendation method based on a cloud platform, the cloud platform being connected with a first database and a second database, the first database being configured to record first information of a first object, and the first information comprising: a jaw-face type and medical background information, the second database being configured to record second information of a second object, and the second information comprising: a jaw-face type, medical background, and historical execution effect; correspondingly, the method comprises: S101, obtaining jaw-face device wearing data of a first object, wherein the jaw-face device wearing data comprises: actual wearing data and recommended wearing data; Wherein, the first object refers to a patient who has a jaw-face deformity and needs to undergo jaw-face correction.

[0032] For example, in some embodiments, the recommended wearing data can be recommended wearing data under one or more treatment stages.

[0033] S102, generating a first jaw-face adjustment scheme according to a wearing data gap between the actual wearing data and the recommended wearing data; wherein the wearing data gap comprises at least one of: a wearing duration gap, a wearing intensity gap, and a wearing method gap; As in some embodiments, the first jaw-face adjustment scheme comprises at least one of: wearing duration management, traction intensity correction, and wearing method guidance. S103, calculating an execution difficulty index of the first jaw-face adjustment scheme relative to the first subject; wherein S103 comprises the steps of: S1031, obtaining a jaw-face type and a medical background index of the first subject from the first database; S1032, generating a first absorption index of the first subject according to the jaw-face type and the medical background index; The first absorption index can be used to evaluate the self-adjustment ability of the patient, or in other words, the first absorption index can be used to predict the execution ability of the patient. The higher the first absorption index, the higher the patient's ability to receive or understand medical recommendations, that is, the higher the degree of completion of the execution of the adjustment scheme.

[0034] S1033, finding historical execution effects of a plurality of second subjects corresponding to the first absorption index from the second database, the historical execution effects being the execution success degree of the second subjects after adjusting according to the corresponding first jaw-face adjustment scheme; The execution success degree can refer to the first reduction degree of the difference between the wearing data before and after the adjustment of the second subject. S1034, generating the execution difficulty index according to the historical execution effects; For example, the better the historical execution effect, the smaller the execution difficulty index.

[0035] S104, generating a second jaw-face adjustment scheme according to the execution difficulty index.

[0036] For example, in some embodiments, S104 comprises: (1) selecting a recommended adjustment range according to the execution difficulty index, the recommended adjustment range being used to limit the attribute type of the recommended adjustment, the attribute type including one or more of the following: left end pulling force, right end pulling force, intraoral anchorage position, wearing angle; (2) screening a matched second jaw-face adjustment scheme from at least one first jaw-face adjustment scheme according to the recommended adjustment range.

[0037] Preferably, the matched second jaw-face adjustment scheme refers to the adjustment scheme whose attribute type of adjustment is consistent with the recommended adjustment range.

[0038] For example, in some embodiments, the larger the execution difficulty index, the smaller the corresponding adjustment range. Conversely, the smaller the execution difficulty index, the larger the corresponding adjustment range.

[0039] For example, in some embodiments, when the execution difficulty index is greater than a preset first execution threshold, the adjustment range includes: left end tension, right end tension; when the execution difficulty is less than or equal to the first execution threshold and greater than a preset second execution threshold, the adjustment range includes: left end tension, right end tension, intraoral anchorage position; or, the adjustment range includes: left end tension, right end tension, wearing angle; when the execution difficulty is less than or equal to the second execution threshold, the adjustment range includes: left end tension, right end tension, intraoral anchorage position, wearing angle.

[0040] As a large amount of historical treatment information can be pre-stored in the second database, for the wearing problem existing in the first object, a historical solution (which can be obtained from the formal patient medical record or preset by the doctor combined with experience) to the same type of wearing problem can be queried. And there can be multiple solutions to the same wearing problem, so multiple first jaw-face adjustment schemes can be selected or generated according to the wearing data gap.

[0041] That is, the first jaw-face adjustment scheme generated in the embodiment can be a related adjustment scheme queried from a large number of patient medical records, or an adjustment scheme preset by the doctor combined with experience. Or a scheme recommendation model can be trained by historical diagnosis and treatment data (such as the jaw-face types and jaw-face adjustment schemes of multiple patients) using a machine learning method, that is, the recommended jaw-face adjustment scheme is automatically selected or generated based on the scheme recommendation model.

[0042] Or, the first jaw-face adjustment scheme can also be an adjustment scheme directly generated by using an existing medical model (such as a preset AI model).

[0043] Or, in some embodiments, S104 can also generate a recommendation score of the second jaw-face adjustment scheme according to the execution difficulty index.

[0044] For example, the step of generating a recommendation score of the second jaw-face adjustment scheme according to the execution difficulty index can include: selecting a recommended adjustment range according to the execution difficulty index; identifying the actual adjustment range of the first jaw-face adjustment scheme; when the recommended adjustment range and the actual adjustment range are the same, a first recommendation score is given to the first jaw-face adjustment scheme; when the recommended adjustment range and the actual adjustment range are different, a second recommendation score is given to the first jaw-face adjustment scheme according to the difference in adjustment range, wherein the first recommendation score is greater than the second recommendation score; the first jaw-face adjustment scheme with a recommendation score greater than a preset score is taken as the second jaw-face adjustment scheme, and the recommendation score can be output synchronously.

[0045] For example, the magnitude of the difference in the adjustment range can refer to the difference in the number of attribute types being adjusted. The greater the difference in the number of attributes, the lower the second recommendation score will be.

[0046] Alternatively, the difference in adjustment range can be assessed by the degree of overlap in attribute types; for example, the greater the overlap of the same attribute types, the higher the second recommendation score will be.

[0047] It's important to note that maxillofacial correction often involves a lengthy treatment period, potentially lasting 1 to 3 years. Achieving optimal results depends not only on the doctor's treatment plan but also on the patient's long-term adherence, such as consistently wearing the maxillofacial appliance (also known as an external traction device) correctly every day. Improper wearing of the appliance can easily lead to unsatisfactory treatment outcomes or prolong the treatment period.

[0048] However, in actual clinical applications, due to the wide distribution of patients and significant differences in their identities, ages, and understanding of medical knowledge, various unpredictable errors may occur when using maxillofacial devices for self-correction at home. These errors may include incorrect adjustment of the unilateral tension of the device or slight misalignment of the device, which can greatly reduce the therapeutic effect.

[0049] Furthermore, due to multiple factors such as time, cost, and limited medical resources, these errors are difficult to be reported in a timely manner (i.e., doctors find it difficult to predict or grasp the errors that may occur when patients wear the device at home). Therefore, this communication barrier will pose a great challenge to the implementation of the treatment plan.

[0050] In response, this application provides a big data cloud platform integrating the patient's own treatment data and the treatment experience of similar patients. This cloud platform can be linked with the maxillofacial device worn by the patient to monitor the patient's actual wearing situation and provide timely and relatively reliable adjustment suggestions when the patient makes mistakes such as incorrect wearing. This monitoring method can, to a certain extent, ensure the effective implementation of the treatment plan and avoid affecting the treatment effect or treatment cycle due to improper wearing.

[0051] In other words, given the complex patient population (with significant differences in age, identity, medical background, and type of maxillofacial deformity) and the unpredictable types of incorrect fitting methods that may occur, this invention focuses on selecting a moderately difficult maxillofacial adjustment plan for patients based on their historical medical records. This aims to allow patients as much freedom of adjustment as possible while reasonably reducing the difficulty of self-adjustment.

[0052] Specifically, the present invention provides an automatic recommendation scheme that makes restrictive recommendations on the patient's maxillofacial adjustment plan based on the patient's self-background (such as maxillofacial type and medical background) and the overlap of the patient's similar population (such as other patients with similar maxillofacial type or medical background). The key point of this method is to limit the adjustment range of the maxillofacial adjustment plan, so as to avoid introducing new problems due to improper operation by the patient, which would further weaken the treatment effect, while allowing the patient to make a certain degree of self-adjustment.

[0053] It is worth noting that the cloud platform proposed in this invention is particularly beneficial for meeting the growing demand for cross-regional medical treatment. Currently, due to issues such as population mobility and uneven distribution of medical resources, the demand for cross-regional medical treatment is surging. Furthermore, during the treatment cycle of maxillofacial correction, patients need to regularly schedule appointments with their doctors so that doctors can monitor their current treatment progress; therefore, the long-term need for appointments also brings considerable pressure to patients.

[0054] In response, the auxiliary supervision and guidance system established through the cloud platform can provide patients with relatively reliable adjustment guidance to a certain extent, thereby helping to reduce the frequency of necessary medical visits and alleviate the pressure of cross-regional medical treatment.

[0055] Therefore, for maxillofacial orthodontic treatment scenarios that require long-term home care, this invention helps reduce patients' dependence on in-person visits. This not only helps improve the speed of treatment for patients, but also alleviates the pressure of strained medical resources.

[0056] It should be noted that the proposed method of limiting the output of automatically generated maxillofacial adjustment plans based on a comparison of the treatment backgrounds of patients of the same type is particularly suitable for patients with severe maxillofacial deformities. The treatment plans for different patients are described below: In some embodiments, the maxillofacial device may include a combined traction device, a mandibular traction device, a high-level traction device, etc. For example, the combined traction device and the mandibular traction device consist of a head cap and a hook; the high-level traction device consists of a head cap and a safety buckle; the neck strap is made of soft fabric and equipped with a safety buckle. This product can be used in conjunction with a chin brace, J-hooks, etc. These maxillofacial devices may also be referred to as extraoral anchorage devices.

[0057] like Figure 3 As shown, the maxillofacial device includes a headgear and a chin guard corresponding to the chin, connected by a strap. Typically, during wear, the patient needs to ensure the length of the strap is adjusted to a suitable range (i.e., ensuring the tension on both sides is within a reasonable range), and also ensure the wearing angle (e.g., the angle of inclination of the line connecting the chin guard and the headgear at the chin) is within a suitable range. This may involve adjusting the tension at both ends and the wearing angle.

[0058] Furthermore, in some embodiments, for patients with more severe maxillofacial deformities, the maxillofacial device will be an intraoral anchorage device. That is, in addition to structures such as a head cap, it will also have intraoral structures such as transpalatal bars, rapid arch expanders, etc. These intraoral structures need to be worn inside the oral cavity to provide orthodontic support for the patient's teeth.

[0059] This type of intraoral anchorage device is a technique used in orthodontic treatment to provide anchorage force through an intraoral device. Its core function is to restrict the movement of non-target teeth and enhance the anchorage control effect. In some embodiments, the intraoral anchorage device can be a headgear or extraoral bow.

[0060] Therefore, for patients with more severe maxillofacial deformities, adjustments may be required in more dimensions of parameters. In addition to adjusting the tension at both ends and the wearing angle, adjustments may also be needed for devices such as the transpalatal bar or rapid arch expander worn intraorally. For example, misalignment of the intraoral structure may also affect the corrective effect of the headgear.

[0061] In other words, in severe cases, patients may need to simultaneously adjust the left-hand tension, right-hand tension, intraoral anchorage position, and wearing angle. However, this also places a great deal of adjustment pressure on patients.

[0062] From another perspective, the applicant believes that an ideal treatment plan may not necessarily produce higher results in practice. In other words, there is often a contradiction between the difficulty of implementation that patients can accept and the expected treatment effect.

[0063] Therefore, in this invention, multiple possible adjustment schemes are actually screened restrictively based on the difficulty of execution. This restrictive screening mechanism is beneficial to reconcile the contradiction between the difficulty of execution and the expected therapeutic effect to a certain extent.

[0064] The applicant discovered that different maxillofacial types correspond to different levels of orthodontic difficulty; that is, the more severe the maxillofacial type, the longer and more difficult the orthodontic process will be.

[0065] In some embodiments, maxillofacial types can be classified into different grades based on the difficulty or severity of treatment. For example, the severity of malocclusion is usually assessed based on a comprehensive evaluation of the amount of maxillary and mandibular deviation, the visual impact of facial asymmetry, and functional impairment, and is mainly divided into three grades: mild, moderate, and severe (with severity increasing progressively). Correspondingly, the greater the severity of the maxillofacial type, the lower the first absorption index.

[0066] The severity of maxillofacial conditions can be classified into three levels: severe, moderate, and mild. The higher the level, the higher the primary absorption index.

[0067] In some embodiments, the medical background index can be used to represent the breadth of medical knowledge of the first subject (i.e., the patient). For example, the larger the medical background index, the higher the corresponding first absorption index. The medical background index can also be divided into first-level, second-level, and third-level.

[0068] In some embodiments, the first absorption index can be determined by combining medical background indicators and maxillofacial type. For example, if the maxillofacial type is level three and the medical background indicator is also level three, the first absorption index is relatively high.

[0069] In some embodiments, preferably, the first object refers to the current user object pushed by the current maxillofacial solution; the second object refers to other historical user objects pushed by historical maxillofacial solutions.

[0070] In other words, the first subject refers to the current patient, and the second subject refers to other patients who are also receiving maxillofacial orthodontic treatment.

[0071] In some embodiments, the wear data of the maxillofacial device may include wear time data (e.g., total wear time per day or week; single continuous wear time; number of wear interruptions, etc.); wear force data (e.g., force magnitude; whether the traction force of the left and right side straps is equal; force fluctuation, etc.); and device wear status data (e.g., the degree to which the device fits the maxillofacial region; device wear offset angle; number of times it has come loose, etc.).

[0072] In some embodiments, the actual wear data may be wear data of the maxillofacial device collected by sensors on the maxillofacial device (e.g., daily wear time, wear angle deviation, difference in tension between the left and right straps, etc.).

[0073] In some embodiments, recommended wearing data may be a calculated average or a standard value recommended by a doctor (e.g., daily wearing time ≥ 5 hours, and / or wearing angle deviation ≤ 10%).

[0074] It should be understood that the wear data gap can be the set of differences between the actual value (i.e., actual wear data) and the corresponding recommended value (i.e., recommended wear data) of each maxillofacial device wear data, or it can be the gap reflected by the ratio between each actual wear data and the recommended wear data.

[0075] In some embodiments, a doctor may determine the first maxillofacial adjustment plan based on the wear data gap, or the connected cloud platform may determine the first maxillofacial adjustment plan applicable to other patients with the same or similar wear data gaps based on historical user data.

[0076] In some embodiments, a first maxillofacial adjustment plan can be generated directly based on the wear data gap, including the steps of: calculating the wear data gap between actual wear data and recommended wear data; determining the wearing duration, wearing force, and traction method based on the wear data gap and a preset mapping table; and jointly determining the first maxillofacial adjustment plan based on the wearing duration, wearing force, and traction method. The preset mapping table includes at least the wear data gap and the corresponding required wearing duration, force, and traction method.

[0077] In some embodiments, the target adjustment type can also be determined based on the wear data gap, including the steps of: determining whether different types of wear data gaps (e.g., wear duration gap, wear force gap, wear method gap, etc.) are greater than or equal to a preset gap; if so, at least one wear data that is greater than or equal to the preset gap is taken as a target adjustment type. The preset gap can be set by the doctor or based on the patient's average condition.

[0078] Furthermore, the target adjustment type can be adjusted while maintaining other types of wear data. When the wear duration is the target adjustment type, a first maxillofacial adjustment plan can be generated based on the adjusted wear duration and the patient's original wear force and wearing method.

[0079] It should be understood that when generating the first maxillofacial adjustment plan, this invention imposes restrictive constraints on the adjustment content of the plan through a preset gap. Specifically, it adjusts only the target adjustment type, rather than indiscriminately adjusting all types of wearing data. The advantage of this approach is that it prioritizes addressing the key indicators that deviate furthest from the preset target and have the greatest impact on treatment effectiveness (such as "severe imbalance of left and right traction forces"), rather than simultaneously adjusting all data (such as wearing time and force stability), thereby effectively avoiding excessive burden and interference on the patient.

[0080] In some embodiments, the first maxillofacial adjustment plan generated based on the wearer data gap follows a progressive principle. The initial adjustment is usually conservative (e.g., correcting the unbalanced force value by 30%), and then fine-tuning is gradually made in subsequent cycles based on the patient's response and actual results. This can effectively avoid new problems (such as joint pain or tissue damage) caused by excessive adjustment at one time.

[0081] The differences in wearability data can include at least the following: differences in wear duration, wear intensity, and wear method.

[0082] In some embodiments, when a recommended maxillofacial adjustment scheme is generated using a preset model, adjusting the range can also help reduce the difficulty of model training or computational operation.

[0083] In some embodiments, wearing time refers to the effective duration for which the user wears the maxillofacial device. Specifically, if the effective duration for which the user wears the maxillofacial traction device (which can be from the moment the device is correctly put on until the user removes it) is less than a preset minimum duration (which can be a very short duration, such as 5 minutes), then this is considered a valid duration. Not including excessively short wearing times in the effective duration can effectively exclude some abnormal wearing data (such as frequent removal of the maxillofacial device during eating), and the exclusion of abnormal wearing data can also help correct the user's wearing habits.

[0084] The first maxillofacial adjustment plan may include at least: wearing time management, traction force correction, and wearing method guidance.

[0085] Wearing time management refers to planning, monitoring, and adjusting the wearing time of the maxillofacial device to ensure that the recommended wearing time or the staged orthodontic goals are achieved; traction force correction refers to adjusting the traction force of the maxillofacial device according to the actual traction effect or recommended standards to adapt to the individual orthodontic needs of the user; wearing method guidance refers to guiding users to master the correct wearing posture, angle, fit and other standardized requirements of the maxillofacial device through demonstration videos, flowcharts, instructions and other means.

[0086] In some embodiments, the execution difficulty index refers to a quantitative indicator of the execution difficulty of the current maxillofacial adjustment plan relative to the current patient. Obtaining the execution difficulty index can quantify the execution difficulty and suitability of the current maxillofacial adjustment plan for the current patient. This can prevent the patient from being unable to follow the plan due to excessive execution difficulty, and can greatly reduce the resistance to execution while ensuring the orthodontic effect, thereby improving the pertinence and adaptability of the maxillofacial adjustment plan.

[0087] In some embodiments, including: The medical background information includes at least one of the following: the patient's personal medical treatment duration, the medical background of family members, and the results of the questionnaire.

[0088] In some embodiments, medical background information is a quantitative indicator that comprehensively reflects the user's knowledge base and cognitive status in the field of maxillofacial orthodontics. It can be determined by at least one of the following: the patient's cumulative medical treatment time (reflecting their own medical experience), the medical professional background of family members (reflecting the family members' professional level in the medical field, especially in the field of maxillofacial orthodontics), and the feedback results of questionnaires on health awareness, medical behavior, etc. (characterizing the user's adherence to the maxillofacial orthodontic treatment plan). It is used to assess the patient's understanding of the maxillofacial orthodontic treatment plan, cooperation level, and potential treatment risks.

[0089] In some embodiments, a patient's medical background index can be calculated based on at least one of the following: the patient's duration of medical treatment, the medical background of family members, and questionnaire feedback results. For example, the calculation method could be that different types of information correspond to different scores; for instance, a duration of medical treatment of 50 hours would result in a score of 90. The medical background index can be the average of multiple scores.

[0090] In some embodiments, a first absorption index for the first subject can be generated based on medical background indicators. It should be understood that medical background indicators reflect a prediction of the patient's ability to implement the adjustment plan. The difficulty of implementing the maxillofacial treatment plan for the patient (or the first subject) can be determined based on the medical background indicators, and a label for the first absorption index corresponding to the medical background indicators can be generated in a database. For example, if the medical background indicators are very high, the generated first absorption index label would be "high absorption index patient".

[0091] In some embodiments, the maxillofacial type can be classified according to the sagittal and vertical positional relationship of the maxilla and mandible.

[0092] Specifically, according to the sagittal division, the maxillofacial type can be classified based on the relationship between tooth occlusion and skeletal linkage into Angle Class I (the relationship between the maxilla and mandible and teeth is basically normal, and the molars have a neutral occlusion, i.e., the mesiobuccal cusp of the maxillary first molar is opposite the mesiobuccal groove of the mandibular first molar), Angle Class II (the maxilla is relatively protruding or the mandible is relatively retruding, and the molars have a distal occlusion, i.e., the mesiobuccal cusp of the maxillary first molar is located in front of the mesiobuccal groove of the mandibular first molar), and Angle Class III (the mandible is relatively protruding or the maxilla is relatively retruding, and the molars have a mesial occlusion, i.e., the mesiobuccal cusp of the maxillary first molar is located behind the mesiobuccal groove of the mandibular first molar). Alternatively, the maxillofacial type can be classified based on X-ray projection measurements into Class I (neutral bone facial type), Class II (distal bone facial type), and Class III (mesial bone facial type). When classifying according to vertical skeletal type, the maxillofacial type can be divided into high-angle type, low-angle type, and even-angle type based on the high-low relationship.

[0093] It should be understood that the required orthodontic treatment plan for the first patient can be determined based on their maxillofacial type, and the difficulty of implementing the plan can be predicted based on medical background indicators. The first absorption index for the first patient can be generated based on both maxillofacial type and medical background indicators. The advantage of this is that it allows for a comprehensive determination of the first absorption index from both perspectives, accurately identifying a second patient with a high degree of consistency in terms of treatment plan suitability and implementation difficulty. This provides a more realistic reference for correctly inferring the implementation difficulty index of the first patient, thereby enabling the development of a more targeted and feasible maxillofacial adjustment plan.

[0094] In some embodiments, the historical execution effects of multiple second objects corresponding to the first absorption index are retrieved from the second database. That is to say, the present invention uses the first absorption index as the standard for dividing user groups, and uses the historical execution effects of second objects with the same first absorption index as a reference for the execution difficulty index of the first object. This is beneficial to provide a more realistic judgment basis for optimizing the solution of the first object and predicting the execution difficulty, and improves the adaptability between the maxillofacial solution and the user.

[0095] Alternatively, in some embodiments, retrieving the historical execution results of multiple second objects corresponding to the first absorption metric from the second database includes: (1) Obtain the second absorption index of the second object, wherein the second absorption index can be determined in the same way as the first absorption index; (2) Obtain the historical performance of a second subject with the same second absorption index as the first absorption index after the first maxillofacial adjustment plan was implemented.

[0096] For example, the second subject's medical records contain professional evaluation results entered by the doctor, such as comments like "the effect is better," as historical implementation results.

[0097] In some embodiments, when generating the execution difficulty index based on the historical execution results, the better the historical execution results, the lower the corresponding execution difficulty index, indicating that the execution difficulty may be relatively low.

[0098] It is understandable that the first maxillofacial adjustment scheme in (2) can refer to the same adjustment scheme as the attribute type involved in S102.

[0099] The present invention determines a second object for reference based on a first absorption index, with the aim of determining a reference object (or second object) that is more in line with the patient's actual situation by using both maxillofacial type and the first absorption index as dual factors.

[0100] In some embodiments, two first absorption indicators whose difference is less than a preset absorption indicator difference can be considered as highly similar first absorption indicators. If the first absorption indicator of a first object does not index a corresponding second object, the first absorption indicator can be updated to a highly similar first absorption indicator, thereby effectively improving the adaptability of the present invention.

[0101] In some embodiments, a second object with the same maxillofacial type can be used as a reference. If no second object with the same maxillofacial type is indexed, a second object with a similar maxillofacial type can be used as a reference. Whether the maxillofacial types are similar can be determined by the doctor or classified by the cloud platform based on historical patient data.

[0102] It should be noted that when indexing the second object based on the first absorption index and the maxillofacial type, the present invention does not strictly require that they be completely identical. Instead, it also includes second objects with similar conditions for reference. On the one hand, this can avoid the negative psychological impact on users caused by indexing failure, and on the other hand, it can cover a wider range of objects that are still of reference value, and provide early warning of some seemingly different situations that may lead to similar complications.

[0103] It should be understood that historical performance refers to the degree of success of the second subject after adjustments were made according to the corresponding first maxillofacial adjustment plan.

[0104] The degree of success of the execution can refer to the first reduction in the gap between the wear data of the second subject after adjustment, or it can be obtained by the doctor's evaluation.

[0105] In some embodiments, the execution success rate can be a quantified value of the execution success rate of a single second object, or the average of the quantified values ​​of the execution success rates of multiple corresponding second objects. Of course, users can also select several second objects for reference from multiple indexed second objects based on their gender and age.

[0106] It should be understood that the first degree of narrowing of the wearable data gap is a quantitative indicator representing the degree of execution success; the degree of execution success is a core indicator reflecting the historical execution effect.

[0107] The initial reduction level can be determined based on the change in the gap between the user's wear data before and after the adjustment. For example, if the gap in user wear data before the adjustment is 50% and the gap after the adjustment is 30%, then the wear data gap has been reduced, and the initial reduction level could be 20% (i.e., 50%-30%).

[0108] It should be understood that the greater the initial reduction in the gap in wearable data, the greater the success rate of the execution.

[0109] In some embodiments, the value of the first reduction level can be directly used as the degree of execution success.

[0110] For example, the success rate of execution can be the percentage corresponding to the first reduction level; the historical execution effect can be different effect level evaluations (such as poor, poor, good, relatively good, very good, etc.).

[0111] In some embodiments, the degree of success can also be determined based on the doctor's evaluation.

[0112] It should be noted that the first absorption index can be used to index out a second object with the same or highly similar index as the first object. Its advantage is that by finding a reference object with commonalities, the execution difficulty index of the first object can be inferred by using the known historical execution effect of the second object. This provides a convenient and reliable reference for generating the execution difficulty index of the first object, thereby improving the efficiency and accuracy of the solution recommendation.

[0113] In some embodiments, preferably, the first database may refer to the personal maxillofacial database of the current user (i.e., the first object), and the second database may refer to the sum of personal maxillofacial data of other users.

[0114] In some embodiments, an execution difficulty index can be generated based on historical execution results. That is, the higher the execution success rate, the better the historical execution results, and the lower the execution difficulty index; conversely, the lower the execution success rate, the worse the historical execution results, and the higher the execution difficulty index.

[0115] For example, if the historical results are very good (e.g., the effect level is rated as very good), then the difficulty index of execution will be reduced accordingly (e.g., the current first maxillofacial adjustment plan can be marked as having low execution difficulty).

[0116] In some embodiments, a second maxillofacial adjustment plan is generated based on the execution difficulty index. The second maxillofacial adjustment plan can be obtained by adjusting the first maxillofacial adjustment plan, or a new maxillofacial adjustment plan can be generated by combining the first absorption index and the wear data gap as the second maxillofacial adjustment plan.

[0117] In some embodiments, generating a second maxillofacial adjustment plan based on an execution difficulty index includes the following steps: depending on whether the execution difficulty index is greater than a preset execution difficulty index, if so, adjusting the wearing duration, wearing force, and wearing method in the first maxillofacial adjustment plan to a second maxillofacial adjustment plan with lower requirements; if not, adjusting the wearing duration, wearing force, and wearing method in the first maxillofacial adjustment plan to a second maxillofacial adjustment plan with higher requirements.

[0118] In some embodiments, including: When the difference between the actual wear data and the recommended wear data is greater than a preset difference, S103 is executed.

[0119] In some embodiments, the preset gap can be set by the user.

[0120] In some embodiments, it also includes: The first absorption index is updated based on the adjustment effect; including: If both the execution effect and the treatment effect in the adjustment effect are greater than or equal to the preset execution effect and the preset treatment effect, then the first absorption index is increased; If, in the adjustment effect, at least one of the execution effect and the treatment effect is less than the preset execution effect and the preset treatment effect, then the first absorption index is maintained.

[0121] In some embodiments, the execution effect refers to the degree of success of the execution after the first object is adjusted according to the corresponding first maxillofacial adjustment scheme or the second maxillofacial adjustment scheme.

[0122] In some embodiments, the execution effect refers to the patient's compliance with the plan and the degree of specific implementation, which can quantify whether the user strictly follows the requirements of the maxillofacial adjustment plan. It can also be determined comprehensively based on indicators such as whether the wearing time is up to standard, whether the lateral tension is sufficient, and whether the intraoral anchorage position is correct.

[0123] In some embodiments, the performance effect can be a grade (e.g., very good, average, poor) determined by the degree to which the user's actual adjustment behavior matches the requirements of the maxillofacial adjustment plan. For example, if the actual left-end traction force when the user wears the maxillofacial adjustment device is 50% of the left-end traction force required in the maxillofacial adjustment plan, and the actual right-end traction force is also 50% of the right-end traction force required in the maxillofacial adjustment plan, then the user's performance effect can be considered average. If the actual adjustment behavior matches the requirements of the maxillofacial adjustment plan very well, such as reaching 90%, then the user's performance effect can be considered very good.

[0124] In some embodiments, the treatment effect can be used to quantify the actual impact of the maxillofacial adjustment program on the patient's maxillofacial morphology and function, and can be a grade determined based on the difference in maxillofacial data before and after a course of treatment.

[0125] In some embodiments, obtaining the therapeutic effect includes the following steps: S117, acquire first maxillofacial data of the first object before at least one treatment course and second maxillofacial data after the treatment course; S118, calculate the difference between the second maxillofacial data and the first maxillofacial data to obtain the maxillofacial data difference; S119, The treatment effect is determined based on the difference in the maxillofacial data.

[0126] Maxillofacial data (i.e., primary and secondary maxillofacial data) can include jawbone relationships, occlusal relationships, and jawbone displacement. Maxillofacial data can be obtained through imaging techniques and other methods.

[0127] In some embodiments, the treatment effect can be assessed based on changes in maxillofacial data before and after a treatment course (e.g., very good, fair, poor). For example, if the jawbone displacement value meets the requirements of the maxillofacial adjustment plan, i.e., the difference in maxillofacial data is large, the treatment effect can be considered very good.

[0128] In some embodiments, the adjustment effect may include the current performance effect and / or the treatment effect.

[0129] It should be understood that, in contrast to the historical performance of the second subject, the current performance of the first subject (represented as the degree of success) can also refer to the second degree of reduction in the gap between the wearing data of the first subject after adjustment according to the corresponding first or second maxillofacial adjustment scheme. The distinction between the first and second degree of reduction is merely for ease of understanding the schemes; the calculation method for the second degree of reduction is the same as that for the first degree of reduction, and will not be elaborated upon here.

[0130] In some embodiments, obtaining the current performance effect is to assess the degree to which the user has implemented the adjustment plan according to the first or second maxillofacial adjustment plan. The second reduction degree can characterize the current performance effect of the first subject.

[0131] In some embodiments, the percentage increase of the second absorption indicator compared to the first absorption indicator can be determined based on the current performance evaluation level (e.g., poor, poor, good, relatively good, very good, etc.). For example, if the current performance evaluation level is very good, the percentage increase of the second absorption indicator compared to the first absorption indicator will be correspondingly larger (e.g., the percentage increase of the second absorption indicator compared to the first absorption indicator can be more than 30%).

[0132] In some embodiments, the treatment effect can be determined based on the difference between first maxillofacial data of the first subject before at least one treatment session and second maxillofacial data after that treatment session.

[0133] In some embodiments, maxillofacial data may include skeletal structure, soft tissue features, occlusal relationship, temporomandibular joint movement trajectory, etc. Maxillofacial data can be acquired using sensor devices on the maxillofacial traction device, or it can be acquired using other devices (e.g., it can be pre-entered by the doctor on an APP and uploaded to the cloud platform used in this invention).

[0134] In some embodiments, the difference between treatment effect and implementation effect lies in the fact that treatment effect can refer to the actual degree of improvement in the user's maxillofacial data, while implementation effect refers to the degree to which the user implements the maxillofacial adjustment plan. Adjustment effect includes both treatment effect and implementation effect.

[0135] In some embodiments, situations may arise where the execution effect is good but the treatment effect is poor during actual treatment. For example, if a user has a long-term protruding mandible and maintains stability through muscle compensation, even if the duration, force, and method of wearing the device are appropriate for their actual situation, muscle memory may lead to increased pain or malocclusion. Alternatively, there may be contradictory scenarios where the execution effect is poor but the treatment effect is good. For example, adolescent users have active bone metabolism and only need a portion of the recommended force value for treatment, meaning that the treatment goal can be achieved even if the wearing force does not reach the recommended value.

[0136] It should be understood that comprehensively considering both the implementation effect and the treatment effect can effectively avoid the distortion of the assessment results due to a single evaluation dimension.

[0137] In some embodiments, a treatment course refers to a pre-set time period based on a specific orthodontic goal. For example, in a first maxillofacial adjustment plan, the expected treatment period is 1 year, divided into 12 treatment courses, with each month constituting one treatment course.

[0138] It should be understood that the length of a treatment course can be determined based on the maxillofacial adjustment plan, as advised by the doctor, or set by the user according to their needs. This invention preferably uses a treatment course as the time interval between two sets of maxillofacial data acquisition. This ensures that the time interval between the two sets of data is not too long, leading to data distortion, nor too short, resulting in insufficient difference in the maxillofacial data to represent an effective correction trend.

[0139] In some embodiments, if the treatment effect is satisfactory, the first absorption index can be correspondingly increased to the third absorption index. For example, the percentage increase of the third absorption index compared to the first absorption index can be determined based on the magnitude of the treatment effect. Further, the magnitude of the treatment effect can be determined based on the difference between the first maxillofacial data and the second maxillofacial data.

[0140] It should be understood that this invention establishes an absorption index update mechanism based on dual factors (i.e., execution effect and treatment effect). Specifically, this absorption index update mechanism includes at least the following layers of meaning: 1) When the execution effect and / or treatment effect are greater than the preset value, i.e., when the adjustment effect is very good, the absorption index can be increased accordingly to ensure that the current maxillofacial adjustment plan always matches the user's current cognitive and orthodontic state; 2) The correctness of the maxillofacial adjustment plan is verified by the dynamic changes in the execution effect and / or treatment effect, which helps the plan recommendation to always be in a state of continuous optimization; 3) The execution effect is the change effect before and after the intervention of the maxillofacial adjustment plan, and this change effect accompanies the entire execution of the plan; while the treatment effect is the change effect before and after the treatment course, and this change effect is periodic; based on this dual verification of continuous and periodic trends, the effectiveness of the maxillofacial adjustment plan can be greatly improved.

[0141] Furthermore, the present invention also provides a safe setting mechanism for updating absorption indicators. Preferably, the absorption indicators are only updated when both the execution effect and the treatment effect are greater than the preset value. This avoids the problem of excessive data processing pressure on the cloud platform caused by frequent updates to absorption indicators, and also helps to systematically analyze the user's treatment effect from a longer-term and more macroscopic perspective.

[0142] In some embodiments, the method further includes the following after S103: S109, if the execution difficulty index is less than the first threshold; S110, then the first maxillofacial adjustment scheme is taken as the final output scheme; S111, if the execution difficulty index is greater than or equal to the first threshold and less than the second threshold; S112, then generate a wearing guidance prompt based on the wear data gap; S113, if the execution difficulty index is greater than or equal to the second threshold and less than the third threshold; S114, then determine whether the first absorption index is greater than or equal to the preset absorption index; S115, if the result of S114 is yes, then execute S104; S116. If the execution result of S114 is negative, a risk warning message will be issued.

[0143] In some embodiments, the present invention also proposes a method for hierarchical output of solutions based on the degree of execution difficulty, specifically: In some embodiments, if the execution difficulty index is less than a first threshold, the first maxillofacial adjustment plan is used as the final output plan. That is, when the execution difficulty is very low for the user, the first maxillofacial adjustment plan can be directly output without generating a second maxillofacial adjustment plan. If the execution difficulty index is greater than or equal to the first threshold and less than the second threshold, that is, when the execution difficulty index is in the range of greater than or equal to the first threshold and less than the second threshold, it is necessary to generate a wearing guidance prompt based on the wearing data difference to avoid the problem of the first maxillofacial adjustment plan having an excessively high execution difficulty index due to the user not knowing how to wear it.

[0144] It should be noted that wearing guidance prompts are different from wearing method guidance. Wearing method guidance is a general standard requirement to guide users to wear correctly; wearing guidance prompts are corrective prompts generated to users when the difficulty index is in a specific range, focusing on one or several incorrect wearing data.

[0145] In some embodiments, if the execution difficulty index is greater than or equal to a second threshold and less than a third threshold, it is determined whether the first absorption index is greater than or equal to a preset absorption index: if yes, a second maxillofacial adjustment plan is generated based on the execution difficulty index; if no, a risk warning message is issued. That is, if the execution difficulty index is particularly high, the impact of the first absorption index needs to be considered. If the first absorption index is greater than or equal to the preset absorption index, a second maxillofacial adjustment plan can be generated; if the first absorption index is less than the preset absorption index, a risk warning message can be issued.

[0146] For example, if the execution difficulty index is too high and the user's first absorption index is too low (such as a damaged or deformed traction device), then it is recommended that the user go to the hospital for medical treatment.

[0147] Preferably, the third threshold is greater than the second threshold, and the second threshold is greater than the first threshold.

[0148] Preferably, the maxillofacial device in this invention can be the extramaxillary traction device disclosed in CN209790126U.

[0149] Preferably, please refer to Figure 3 , Figure 4 , Figure 5Users can implement maxillofacial adjustment plans by wearing an external traction device. The external traction device may include a headband comprising a front band, a back band, an upper band, a left hanging band, and a right hanging band. The two ends of the upper band are fixed to the middle of the front and back bands, respectively. The two ends of the front band are respectively equipped with a first adjuster and a second adjuster for adjusting the length of the front band. The two ends of the back band are respectively equipped with a third adjuster and a fourth adjuster for adjusting the length of the back band. The upper band consists of a fixed-length section, a telescopic section, and a fifth adjuster connecting the fixed-length section and the telescopic section. A flexible scale is provided on the outer surface of the outer band. The lengths of the front, back, and upper bands are infinitely adjustable, and the adjusted length can be observed through the scale, allowing the patient to adjust the headband size to fit their head well.

[0150] In some embodiments, a buckle can be provided at the front end of the jaw and facial device to replace different types of traction devices, such as replacing the strap with a cable.

[0151] In some embodiments, doctors can set recommended traction force ranges, traction directions, etc. for patients who require special attention on their devices, and can issue a warning if the sensor detects that the range is exceeded.

[0152] In some embodiments, the first and second databases can access patient facial scans, intraoral scans, CBCT, cephalometric measurements, and other data to automatically generate suggestions on traction force and direction.

[0153] In some embodiments, users can be periodically reminded to upload side profile photos to the cloud platform, and doctors can provide subsequent corrective suggestions based on changes in facial shape in the photos.

[0154] In some embodiments, photos of the wearer wearing the external traction device can also be uploaded, and the wearing data of the external traction device can be estimated from the photos, such as calculating the position or wearing angle of the mandibular sleeve.

[0155] In some embodiments, the maxillofacial traction device may further include: sensors on the left and right straps that can measure the tension or positional offset of the straps; and a sensor may be provided at the chin position that can measure the wearing force or positional offset.

[0156] In some embodiments, a sensor installed at the chin position of the maxillofacial traction device can receive forces in three directions: the forces of the left and right straps, and the force of the chin sac backward.

[0157] In some embodiments, the force graph and values ​​measured by the sensor can be displayed on the user device, which can help the user clearly understand the magnitude of the force in each direction.

[0158] At the same time, after the doctor determines the values ​​in each direction when the patient first wears the device, these values ​​can be set as the default values, that is, the optimal values ​​for the patient, or the recommended wearing data.

[0159] Correspondingly, the aforementioned sensor data can be uploaded to the cloud platform system in real time.

[0160] The cloud platform system can have the following functions: 1) Collect user's wear data (including the force, angle, direction, etc. collected by the sensors); 2) Enter patient personal information, such as the degree of malocclusion, treatment records (good treatment effect, repeated adjustments without effect, etc.), medical knowledge background (such as the time of medical treatment, the medical background of family members, questionnaire results), and attending physician information; 3) Form a treatment experience database: collect malocclusion group information, such as the long-term treatment records of patients under a certain degree or type of malocclusion, which can be used as a database to index the second object and generate maxillofacial adjustment plans that meet the absorption index of the first object.

[0161] In some embodiments, the maxillofacial adjustment plan can be based on one maxillofacial device wearing data (such as duration) or on multiple maxillofacial device wearing data (such as duration and force). For example: when the user's wearing time is insufficient, the recommended wearing time is increased; when the traction force on the left and right sides is different, the traction force on the left and right sides is adjusted; if the user's wearing time is too fragmented and lacks long-term continuous wearing, a reminder to wear for a longer period of time is given; if the force is often unstable or the direction is deviated during long-term wearing, a reminder to wear a tighter appliance is given.

[0162] In some embodiments, the wearing guidance prompts may be video instructions. If the user makes multiple adjustments but still does not meet the wearing requirements, one-on-one online video guidance can be provided.

[0163] Please see Figure 6 The present invention also provides a cloud-based maxillofacial solution recommendation system. The cloud platform is connected to a first database and a second database. The first database records first information about a first subject, including maxillofacial type and medical background information. The second database records second information about a second subject, including the maxillofacial type, the medical background information, and historical performance results. Correspondingly, the system is used for: The wearable data acquisition module is used to acquire the maxillofacial device wearable data of the first object, wherein the maxillofacial device wearable data includes: actual wearable data and recommended wearable data; The first adjustment scheme generation module is used to generate at least one first maxillofacial adjustment scheme based on the wear data gap between the actual wear data and the recommended wear data; wherein, the wear data gap includes at least one of the following: wear duration gap, wear force gap, and wear method gap; An execution difficulty calculation module calculates at least one execution difficulty index of the first maxillofacial adjustment plan relative to the first subject; wherein, the execution difficulty calculation module includes: The first submodule is used to obtain the maxillofacial type and medical background indicators of the first object from the first database, wherein the medical background indicators are determined by medical background data. The second submodule is used to generate a first absorption index for the first object based on the maxillofacial type and / or the medical background index. The third submodule is used to search the second database for the historical execution effect of multiple second objects corresponding to the first absorption index. The historical execution effect refers to the degree of execution success when the second object is adjusted according to the corresponding first maxillofacial adjustment plan. The fourth submodule is used to generate the execution difficulty index based on the historical execution results. The second adjustment scheme generation module is used to output a second maxillofacial adjustment scheme based on the execution difficulty index and at least one of the first maxillofacial adjustment schemes.

[0164] In some embodiments, the system is further configured to: When the difference between the actual wear data and the recommended wear data is greater than a preset difference, the execution difficulty calculation module is entered.

[0165] In some embodiments, the medical background information includes at least one of the following: the patient's personal medical treatment duration, the medical background of family members, and questionnaire feedback results.

[0166] In some embodiments, the system is used for: The first absorption index is updated based on the adjustment effect; including: If both the execution effect and the treatment effect in the adjustment effect are greater than or equal to the preset execution effect and the preset treatment effect, then the first absorption index is increased; If, in the adjustment effect, at least one of the execution effect and the treatment effect is less than the preset execution effect and the preset treatment effect, then the first absorption index is maintained.

[0167] In some embodiments, the execution effect refers to the degree of success of the execution after the first object is adjusted according to the corresponding first maxillofacial adjustment scheme or second maxillofacial adjustment scheme.

[0168] In some embodiments, the system is used for: Acquire first maxillofacial data of the first subject before at least one treatment session and second maxillofacial data after the treatment session; Calculate the difference between the second maxillofacial data and the first maxillofacial data to obtain the maxillofacial data difference; The treatment effect is determined based on the difference in the maxillofacial data.

[0169] In some embodiments, the system is used for: The recommended adjustment range is selected based on the execution difficulty index, and the recommended adjustment range is used to limit the attribute type of the recommended adjustment; Based on the recommended adjustment range, a matching second maxillofacial adjustment scheme is selected from at least one first maxillofacial adjustment scheme.

[0170] In some embodiments, the attribute type includes one or more of the following: left end tension, right end tension, intraoral anchorage position, and wearing angle.

[0171] It should be understood that the system in this embodiment can be used to perform the steps described in any of the above embodiments.

[0172] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0173] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a computer terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0174] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A cloud platform-based maxillofacial solution recommendation system, characterized in that, The cloud platform accesses a first database and a second database, the first database is used for recording first information of a first object, and the first information includes a jaw and face type and medical background information, and the second database is used for recording second information of a second object, and the second information includes the jaw and face type, the medical background information and historical execution effect; correspondingly, the system includes: a wearing data acquisition module, configured to acquire jaw and face device wearing data of the first object, wherein the jaw and face device wearing data includes actual wearing data and recommended wearing data; a first adjustment scheme generation module, configured to generate at least one first jaw and face adjustment scheme according to a wearing data gap between the actual wearing data and the recommended wearing data; wherein the wearing data gap includes at least one of a wearing time length gap, a wearing intensity gap and a wearing mode gap; an execution difficulty calculation module, configured to calculate an execution difficulty index of at least one of the first jaw and face adjustment scheme relative to the first object; wherein the execution difficulty calculation module includes: a first submodule, configured to acquire a jaw and face type and a medical background index of the first object from the first database, and the medical background index is determined by medical background information; a second submodule, configured to generate a first absorption index of the first object according to the jaw and face type and / or the medical background index; a third submodule, configured to find historical execution effects of a plurality of second objects corresponding to the first absorption index from the second database, the historical execution effects refer to execution success degrees of the second objects after adjustment according to corresponding first jaw and face adjustment schemes; a fourth submodule, configured to generate the execution difficulty index according to the historical execution effects; a second adjustment scheme generation module, configured to output a second jaw and face adjustment scheme through at least one of the first jaw and face adjustment scheme according to the execution difficulty index.

2. The cloud platform-based jaw-face solution recommendation system according to claim 1, characterized in that, The system is used for: when the wearing data gap between the actual wearing data and the recommended wearing data is greater than a preset gap, entering the execution difficulty calculation module.

3. The cloud platform based jaw-face solution recommendation system as claimed in claim 1, wherein, The medical background information includes at least one of patient personal medical seeking time length information, family member medical background situation and survey questionnaire feedback results.

4. The cloud platform based jaw-face solution recommendation system as claimed in claim 1, wherein, The system is used for: updating the first absorption index according to adjustment effects; including: if the execution effect and the treatment effect in the adjustment effects are both greater than or equal to preset execution effect and preset treatment effect respectively, increasing the first absorption index; if at least one of the execution effect and the treatment effect in the adjustment effects is less than the preset execution effect and the preset treatment effect respectively, keeping the first absorption index.

5. The cloud platform based jaw face solution recommendation system as claimed in claim 4, wherein, The execution effect refers to an execution success degree of the first object after adjustment according to a corresponding first jaw and face adjustment scheme or a second jaw and face adjustment scheme.

6. The cloud platform based jaw face solution recommendation system as claimed in claim 4, wherein, The system is used for: acquiring first jaw and face data of the first object before at least one course of treatment and second jaw and face data after the course of treatment; calculating a difference between the second jaw and face data and the first jaw and face data to obtain jaw and face data difference; determine the treatment effect according to the jaw-face data difference.

7. The cloud platform based jaw-face solution recommendation system according to claim 1, wherein, The system is used for: selecting a recommended adjustment range according to the execution difficulty index, the recommended adjustment range being used to limit the attribute type of the recommended adjustment; selecting a matched second jaw-face adjustment scheme from at least one first jaw-face adjustment scheme according to the recommended adjustment range.

8. The cloud platform-based maxillofacial solution recommendation system of claim 7, wherein, The attribute type includes one or more of the following: left end pulling force, right end pulling force, intraoral anchorage position, wearing angle. 9.A method for recommending a maxillofacial solution based on a cloud platform, the method comprising: The cloud platform is connected with a first database and a second database, the first database is used to record first information of a first object, and the first information includes: jaw-face type and medical background information, the second database is used to record second information of a second object, and the second information includes: the jaw-face type, the medical background information and historical execution effect; correspondingly, the method includes: S101, obtaining jaw-face device wearing data of a first object, wherein the jaw-face device wearing data includes: actual wearing data and recommended wearing data; S102, generating at least one first jaw-face adjustment scheme according to a wearing data gap between the actual wearing data and the recommended wearing data; wherein the wearing data gap includes at least one of: wearing time gap, wearing intensity gap, and wearing mode gap; S103, calculating an execution difficulty index of at least one first jaw-face adjustment scheme relative to the first object; wherein S103 includes the steps of: S1031, obtaining jaw-face type and medical background index of the first object from the first database, and the medical background index is determined by medical background information; S1032, generating a first absorption index of the first object according to the jaw-face type and / or the medical background index; S1033, finding historical execution effect of a plurality of second objects corresponding to the first absorption index from the second database, the historical execution effect refers to the execution success degree of the second object after adjustment according to the corresponding first jaw-face adjustment scheme; S1034, generating the execution difficulty index according to the historical execution effect; S104, outputting a second jaw-face adjustment scheme through at least one first jaw-face adjustment scheme according to the execution difficulty index.

10. The cloud platform-based jaw-face solution recommendation method of claim 9, wherein, including: When the wearing data gap between the actual wearing data and the recommended wearing data is greater than a preset gap, S103 is executed.

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