Personal oral disease diagnosis assistance system and method therefor

Abstract

The present invention relates to a personal oral disease diagnosis assistance system and method that diagnoses oral diseases by analyzing image data generated by photographing the oral cavity of a patient to be diagnosed using photographing equipment, such as a smart terminal or a camera, through an algorithm, and recommends a clinic on the basis of the diagnosis results.

Description

Personal oral disease diagnosis assistance system and method therefor

[0001] The present invention relates to a personal oral disease diagnosis assistance system using an algorithm and a method therefor, and more particularly, to an oral disease diagnosis assistance system and a method therefor, wherein an inference engine diagnoses an oral disease using an algorithm based on image data taken of the oral cavity using a portable photographing device, and when a result other than normal is output, the personal oral disease assistance system recommends a visit to a nearby hospital to the user.

[0002] Because the oral cavity is connected to the outside world, it is a common route of entry for viruses and bacteria, and infectious diseases often occur. The most common diseases are inflammatory diseases such as stomatitis that occur on the tongue, buccal mucosa, roof of the mouth, and lips.

[0003] These conditions naturally improve over a week or two, but if they persist for three weeks or so, they are unlikely to be simply inflammation and are more likely to be cancerous or developing into cancer. Therefore, early detection through accurate screening is crucial.

[0004] Currently, methods for diagnosing oral cancer include tissue biopsy, computed tomography, magnetic resonance imaging, upper gastrointestinal endoscopy, esophagogastroduodenoscopy, and positron emission tomography.

[0005] However, many underdeveloped islands and remote areas have poor medical facilities and do not even have hospitals, so there is a need for a personal oral disease diagnosis system that can assist medical staff in diagnosis using images taken of the patient's oral cavity.

[0006] As a conventional technique for diagnosing oral diseases, Patent Registration No. 10-1788030 and Patent Publication No. 10-2018-0045551 are known.

[0007] Patent Publication No. 10-1788030 discloses a technology that collects a user's oral data to promote oral health and prevent oral diseases, analyzes the data through an oral disease risk diagnosis and oral disease prediction algorithm, evaluates the risk of oral diseases, and provides personalized preventive education for each user through a terminal or links to dental treatment based on the evaluated risk level, thereby assisting in the promotion of the user's oral health and the prevention of oral diseases.

[0008] In addition, Patent Publication No. 10-2018-0045551 discloses a technology that can detect anatomical elements and lesion candidates using an artificial intelligence algorithm and generate more accurate diagnostic information on oral lesions through differential diagnosis of lesion candidates and anatomical elements.

[0009] According to the prior art disclosed in Patent Registration No. 10-1788030 and Patent Publication No. 10-2018-0045551, a technology is proposed to diagnose oral diseases by analyzing a patient's oral image, but it is difficult to use it conveniently in islands or remote areas with poor medical facilities or in places without even a hospital.

[0010] Therefore, when building a disease diagnosis assistance system, if an algorithm diagnoses a disease based on a dynamic knowledge base composed of medical data related to the disease, and if an abnormality is found based on the diagnosis results, the disease diagnosis assistance system recommends a hospital to the user, it will be possible to build a system that can assist in the diagnosis of a disease more simply and quickly.

[0011] [Patent Document]

[0012] Patent Publication No. 10-1788030 (Published on October 13, 2017, Title: Oral Disease Risk Diagnosis and Oral Care System and Method)

[0013] Patent Publication No. 10-2018-0045551 (Published on October 26, 2018, Title: System and Method for Diagnosing Oral Lesions)

[0014] The technical task of the present invention is to provide a personal oral disease diagnosis assistance system for assisting diagnosis of diseases in a patient's oral cavity by using an inference engine based on image data taken of the patient's oral cavity.

[0015] Furthermore, another object of the present invention is to provide a personal oral disease diagnosis assistance system and method therefor that can automatically diagnose diseases of a patient's oral cavity using an inference engine based on image data to assist doctors in areas with underdeveloped medical environments.

[0016] In order to solve such technical problems, the personal oral disease diagnosis system according to the present invention may include a data receiving unit that receives image data of the oral cavity of a patient to be diagnosed and clinical information of the patient to be diagnosed, an oral disease diagnosis unit that analyzes the oral cavity of the patient to be diagnosed from the image data using a dynamic knowledge base composed of medical data related to the oral disease and an inference engine that has learned the medical data of the dynamic knowledge base to diagnose the oral disease of the patient to be diagnosed, and outputs a diagnosis result message of either normal or treatment request according to an abnormality in the oral cavity, a hospital recommendation unit that recommends hospitals in order of proximity based on the location of the patient to be diagnosed so that a hospital reservation can be made when the oral disease diagnosis unit outputs a treatment request, a hospital reservation confirmation unit that confirms a hospital reservation request of the patient to be diagnosed, and a patient data communication unit that transmits the diagnosis result, the image data, and the clinical information to a reserved hospital server when the hospital reservation request is confirmed through the hospital reservation confirmation unit.

[0017] The above image data may be characterized as an image taken of the oral cavity of the patient to be diagnosed using a user device including a smart terminal and a camera.

[0018] The clinical information of the patient to be diagnosed may include at least one of the personal information, medical history, drug allergies, and family history of the patient to be diagnosed.

[0019] The above dynamic knowledge base can be updated with data added to existing data by at least one medical professional.

[0020] The above inference engine can diagnose the disease of the patient to be diagnosed using a CNN (Convolutional Neural Network) or Transformer model.

[0021] The above inference engine can diagnose the oral disease by extracting and learning medical data correlated with the oral disease from the dynamic knowledge base, and analyzing the oral cavity of the patient to be diagnosed based on the learned medical data.

[0022] The oral disease diagnosis unit may analyze the oral cavity of the patient to be diagnosed using the inference engine, and if an abnormality in the oral cavity, including a polyp or a cyst, is found, a treatment request message may be output, and if the oral cavity of the patient to be diagnosed using the inference engine is not found, a normal message may be output.

[0023] The above personal oral disease diagnosis assistance system further includes a data output unit, and the data output unit can output one of the normal or treatment request diagnosis result messages of the oral disease diagnosis unit to the user device.

[0024] When the oral disease diagnosis department outputs a treatment request, the hospital recommendation department can recommend at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed.

[0025] Meanwhile, a method for assisting in diagnosing personal oral diseases according to another embodiment of the present invention is as follows:

[0026] The method may include: receiving image data of an oral cavity of a patient to be diagnosed and clinical information of the patient to be diagnosed from a data receiving unit using a user device including a smart terminal and a camera; configuring medical data related to an oral disease in a dynamic knowledge base to diagnose an oral disease of the patient to be diagnosed; analyzing the oral cavity of the patient to be diagnosed from the image data using an inference engine of an oral disease diagnosis unit that has learned the medical data of the dynamic knowledge base and outputting a diagnosis result message of either normal or treatment request according to an abnormality in the oral cavity; and, when a treatment request is output from the oral disease diagnosis unit, recommending hospitals in order of proximity based on the location of the patient to be diagnosed through a hospital recommendation unit so that a hospital reservation can be made; confirming a hospital reservation request of the patient to be diagnosed through a hospital reservation confirmation unit; and, when the hospital reservation request is confirmed through the hospital reservation confirmation unit, transmitting the diagnosis result, the image data, and the clinical information to a reserved hospital server using a patient data communication unit.

[0027] The clinical information of the patient to be diagnosed may include at least one of the personal information, medical history, drug allergies, and family history of the patient to be diagnosed.

[0028] The above dynamic knowledge base can be updated with data added to existing data by at least one medical professional.

[0029] The above inference engine can diagnose the disease of the patient to be diagnosed using a CNN (Convolutional Neural Network) or Transformer model.

[0030] The process of diagnosing the oral disease using the inference engine of the oral disease diagnosis unit may include a step of extracting medical data having a correlation with the oral disease from the dynamic knowledge base, a step of training the inference engine based on the medical data having a correlation with the oral disease, and a step of analyzing the oral cavity of the patient to be diagnosed from the image data using the inference engine that has trained the medical data, and outputting either normal or a treatment request as a diagnosis result message depending on the abnormal findings in the oral cavity.

[0031] The oral disease diagnosis unit may analyze the oral cavity of the patient to be diagnosed using the inference engine, and if an abnormality in the oral cavity, including a polyp or a cyst, is found, a treatment request message may be output, and if the oral cavity of the patient to be diagnosed using the inference engine is not found, a normal message may be output.

[0032] When the oral disease diagnosis department outputs a treatment request, the hospital recommendation department can recommend at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed.

[0033] Specific details of other embodiments are included in the detailed description and drawings.

[0034] According to the technical problem solving means described above, the personal oral disease diagnosis assistance system and method therefor according to an embodiment of the present invention can diagnose oral diseases using an inference engine based on image data taken of a patient's oral cavity using a portable photographing device, and thus has the following advantages.

[0035] First, the personal oral disease diagnosis assistance system and method therefor can proactively respond to oral diseases using a portable terminal such as a smartphone in areas with underdeveloped medical facilities.

[0036] Second, the personal oral disease diagnosis assistance system and method therefor analyzes the patient's oral cavity using an algorithm, and if a normal or referral request is output, recommends a hospital based on the patient's location, thereby encouraging active patient visits and contributing to the revitalization of local hospitals.

[0037] Third, a personal oral disease diagnosis assistance system and method therefor can help provide quick and accurate treatment by referring to the patient's clinical information and diagnosis results at a local hospital.

[0038] Figure 1 illustrates a personal oral disease assistance system according to an embodiment of the present invention.

[0039] Figure 2 illustrates the diagnostic process of a personal oral disease assistance system.

[0040] Figure 3 illustrates the process of recommending a hospital based on the diagnosis result message.

[0041] Figure 4 illustrates a personal oral disease assistance method.

[0042] Figure 5 illustrates a method for diagnosing a disease of a patient to be diagnosed using an inference engine of an oral disease diagnosis department.

[0043] The following detailed description of the present invention refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced, in order to clarify the objects, techniques, solutions, and advantages of the present invention. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. Furthermore, throughout the detailed description and claims, the word "comprise" and variations thereof are not intended to exclude other technical features, additions, components, or steps. Other objects, advantages, and features of the present invention will become apparent to those skilled in the art, in part from this description, and in part from practice of the present invention. The examples and drawings below are provided by way of illustration and are not intended to limit the present invention. Moreover, the present invention encompasses all possible combinations of the embodiments set forth herein. It should be understood that the various embodiments of the present invention, while different from one another, are not necessarily mutually exclusive. It should also be understood that the positions or arrangements of individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be limiting, and the scope of the present invention is defined solely by the appended claims, along with the full scope equivalent to which such claims are entitled, if properly described. Furthermore, unless otherwise indicated herein or clearly contradicted by context, items referred to in the singular encompass the plural unless the context otherwise requires. Furthermore, in describing the present invention, if a detailed description of a related known structure or function is determined to obscure the gist of the present invention, the detailed description will be omitted.

[0044] Fig. 1 illustrates a personal oral disease assistance system according to an embodiment of the present invention, and Fig. 2 illustrates a diagnostic process of the personal oral disease assistance system.

[0045] Referring to FIGS. 1 and 2, a personal oral disease assistance system (100) can be configured to include a data receiving unit (110), a dynamic knowledge base (120), an oral disease diagnosis unit (130), a hospital recommendation unit (140), a hospital reservation confirmation unit (150), a patient data communication unit (160), a data output unit (170), and a control unit (180).

[0046] The data receiving unit (110) can receive image data (111) taken of the oral cavity of a patient to be diagnosed and clinical information (112) of the patient to be diagnosed.

[0047] Here, the image data (111) may include an image of the oral cavity of a patient to be diagnosed taken using a user device (10) including a smart terminal and a camera, and the clinical information (112) of the patient to be diagnosed may include at least one of personal information, medical history, drug allergies, and family medical history.

[0048] The dynamic knowledge base (120) may be composed of medical data (20) related to oral diseases in order to diagnose diseases of patients to be diagnosed, and according to an embodiment of the present invention, the dynamic knowledge base (120) may update data added to existing data through at least one medical staff member.

[0049] The oral disease diagnosis unit (130) can analyze the oral cavity of a patient to be diagnosed from image data (111) using an inference engine (131) that has learned medical data (20) of a dynamic knowledge base (120) and output a diagnosis result message of either normal or treatment request depending on the abnormal findings in the oral cavity.

[0050] The oral disease diagnosis unit (130) can diagnose oral diseases from image data (111) taken of the oral cavity of a patient to be diagnosed using an inference engine (131).

[0051] The inference engine (131) of the oral disease diagnosis unit (130) learns oral-related medical data (20) using a CNN (Convolutional Neural Network) or a Transformer model, and the learned inference engine (131) can diagnose a disease of a patient to be diagnosed, but is not limited thereto, and according to an embodiment of the present invention, the inference engine (131) can learn oral-related external medical data (20) and diagnose a disease of a patient to be diagnosed using at least one or more of various algorithms such as a CNN (Convolutional Neural Network) or a Transformer model as well as a linear regression, a logistic regression, a decision tree algorithm, a support vector machine, a naive Bayes, a K-nearest neighbor, a random forest algorithm, an ensemble, and a recurrent neural network.

[0052] The inference engine (131) extracts and learns medical data (20) correlated with oral diseases from a dynamic knowledge base (120) to diagnose oral diseases, and analyzes the oral cavity of a patient to be diagnosed based on the learned medical data (20) to diagnose oral diseases.

[0053] According to an embodiment of the present invention, the inference engine (131) receives and learns medical data (20) for classifying anatomical regions of the oral cavity to identify the location of a benign tumor, and the learned inference engine (131) may classify the anatomical regions of the oral cavity including the hard palate, soft palate, uvula, throat, tongue, lingual frenulum, teeth, tonsils, submandibular gland, sublingual gland, upper lip, superior labial frenulum, lower lip, and inferior labial frenulum.

[0054] When a request for treatment is printed from the oral disease diagnosis department (130), the hospital recommendation department (140) can recommend hospitals in order of proximity based on the location of the patient to be diagnosed so that a hospital reservation can be made.

[0055] A detailed description of the hospital recommendation section (140) will be described through Fig. 3.

[0056] The hospital reservation confirmation department (150) can confirm a hospital reservation request of a patient to be diagnosed.

[0057] When the patient data communication unit (160) confirms a hospital reservation request of a patient to be diagnosed through the hospital reservation confirmation unit (150), it can transmit the diagnosis results, image data (111), and clinical information (112) to the hospital server (30).

[0058] The data output unit (170) can output one of the diagnosis result messages of the oral disease diagnosis unit (130) as normal or a treatment request to the user device (10).

[0059] According to an embodiment of the present invention, the treatment results may be received from a hospital server (30) and output to a user device (10) through a data output unit (170) to provide the treatment results of a patient to be diagnosed to the user.

[0060] The control unit (170) generally corresponds to a server, and the control unit (170) performs overall control of the data receiving unit (110), dynamic knowledge base (120), oral disease diagnosis unit (130), hospital recommendation unit (140), hospital reservation confirmation unit (150), patient data communication unit (160), and data output unit (170).

[0061] Figure 3 illustrates the process of recommending a hospital based on the diagnosis result message.

[0062] Referring to Figure 3, when a request for treatment is output as a diagnosis result message from the oral disease diagnosis unit (130), the hospital recommendation unit (140) can recommend a hospital.

[0063] The oral disease diagnosis unit (130) can analyze the oral cavity of a patient to be diagnosed using an inference engine (131) and output a treatment request message if it finds abnormal findings in the oral cavity, including polyps and cysts.

[0064] Alternatively, the oral disease diagnosis unit (130) may analyze the oral cavity of the patient to be diagnosed using the inference engine (131) and output a normal message if no abnormal findings in the oral cavity, including polyps or cysts, are found.

[0065] When the oral disease diagnosis department (130) outputs a diagnosis result message as a treatment request, the hospital recommendation department (140) can recommend at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed.

[0066] Fig. 4 illustrates a method for assisting with personal oral disease diagnosis, and Fig. 5 illustrates a method for diagnosing a disease of a patient to be diagnosed using an inference engine of an oral disease diagnosis unit.

[0067] Referring to FIGS. 4 and 5, a method for assisting with personal oral disease diagnosis can diagnose oral disease based on image data (111) taken of the oral cavity of a patient to be diagnosed, and recommend a nearby hospital based on the location of the patient to be diagnosed based on the diagnosis result.

[0068] Methods for assisting in the diagnosis of personal oral diseases can be carried out as follows.

[0069] A method for assisting in the diagnosis of a personal oral disease can proceed with a step of receiving image data (111) of the oral cavity of a patient to be diagnosed and clinical information (112) of the patient to be diagnosed by a data receiving unit (110) using a user device (10) including a smart terminal and a camera (S100).

[0070] A method for assisting in diagnosing a personal oral disease proceeds with a step of configuring medical data (20) related to an oral disease in a dynamic knowledge base (120) to diagnose an oral disease of a patient to be diagnosed (S110).

[0071] A method for assisting in the diagnosis of a personal oral disease includes a step of analyzing the oral cavity of a patient to be diagnosed from image data (111) using an inference engine (131) of an oral disease diagnosis unit (130) that has learned medical data (20) of a dynamic knowledge base (120) and outputting a diagnosis result message of either normal or request for treatment according to abnormal findings in the oral cavity (S120).

[0072] As can be seen in Fig. 5, the oral disease diagnosis unit (130) uses a CNN (Convolutional Neural Network) or Transformer model to diagnose oral diseases using an inference engine (131) as follows.

[0073] The oral disease diagnosis unit (130) proceeds with the step of extracting medical data (20) that is correlated with oral disease from the dynamic knowledge base (120) (S200).

[0074] According to an embodiment of the present invention, the dynamic knowledge base (120) can update data added to existing data through at least one medical staff member.

[0075] The oral disease diagnosis unit (130) proceeds with a step of training the inference engine (131) based on medical data (20) that is correlated with oral disease (S210).

[0076] The oral disease diagnosis unit (130) analyzes the oral cavity of a patient to be diagnosed from image data (111) using an inference engine (131) that has learned medical data (20), and outputs either normal or treatment request as a diagnosis result message according to abnormal findings in the oral cavity (S220). The oral disease diagnosis unit (130) completes the process of diagnosing an oral disease using the inference engine (131).

[0077] At this time, the oral disease diagnosis unit (130) can analyze the oral cavity of the patient to be diagnosed using the inference engine (131) and output a treatment request message if it finds abnormal findings in the oral cavity, including polyps and cysts.

[0078] Alternatively, the oral disease diagnosis unit (130) may analyze the oral cavity of the patient to be diagnosed using the inference engine (131) and output a normal message if no abnormal findings in the oral cavity, including polyps or cysts, are found.

[0079] A method for assisting in the diagnosis of a personal oral disease involves outputting a treatment request from the oral disease diagnosis unit (130), and then recommending hospitals in order of proximity based on the location of the patient to be diagnosed through the hospital recommendation unit (140) so that a hospital can be reserved (S130).

[0080] At this time, the hospital recommendation unit (140) can recommend at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed.

[0081] The method for assisting in the diagnosis of personal oral diseases proceeds with a step of confirming a hospital reservation request of a patient to be diagnosed through a hospital reservation confirmation unit (150) (S140).

[0082] The method for assisting in the diagnosis of a personal oral disease includes a step of transmitting the diagnosis results, image data (111), and clinical information (112) to the reserved hospital server using the patient data communication unit (160) when a hospital reservation request is confirmed through the hospital reservation confirmation unit (150) (S150), thereby completing the method for assisting in the diagnosis of a personal oral disease.

[0083] According to an embodiment of the present invention, since the patient data communication unit (160) transmits the diagnosis results, image data (111) and clinical information (112) to the hospital server (30), a specialist may be able to quickly and accurately diagnose a patient to be diagnosed when he or she visits the hospital.

[0084] While the present invention has been described with reference to the embodiments illustrated in the drawings, these are merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible. For example, although the present invention has been described based on the assumption of a system for diagnosing oral diseases, the present invention can be equally applied to all cases where diseases can be diagnosed by analyzing oral image data of a patient to be diagnosed without any particular modification. Therefore, the true technical protection scope of the present invention should be defined solely by the appended claims.

[0085] [Explanation of symbols]

[0086] 100: Personal Oral Disease Diagnosis Assistance System

[0087] 110: Data receiving unit

[0088] 120: Dynamic Knowledge Base

[0089] 130: Oral Disease Diagnosis Department

[0090] 131: Inference Engine

[0091] 140: Hospital Recommendation Form

[0092] 150: Hospital Reservation Confirmation Form

[0093] 160: Patient Data Communication Department

[0094] 170: Data output section

[0095] 180: Control unit

Claims

1. A data receiving unit that receives image data of the oral cavity of a patient to be diagnosed and clinical information of the patient to be diagnosed; A dynamic knowledge base consisting of medical data related to the oral disease for diagnosing the oral disease of the patient to be diagnosed; An oral disease diagnosis unit that analyzes the oral cavity of the patient to be diagnosed from the image data using an inference engine that has learned medical data of the above dynamic knowledge base and outputs a diagnosis result message of either normal or treatment request depending on abnormal findings in the oral cavity; When a request for treatment is printed from the above oral disease diagnosis department, a hospital recommendation department recommends hospitals in order of proximity based on the location of the patient to be diagnosed so that a hospital can be reserved; Hospital appointment confirmation section for confirming hospital appointment requests of patients subject to the above diagnosis; and A personal oral disease diagnosis assistance system, comprising: a patient data communication unit that transmits the diagnosis results, the image data, and the clinical information to the reserved hospital server when the hospital reservation request is confirmed through the hospital reservation confirmation unit.

2. In paragraph 1, A personal oral disease diagnosis assistance system characterized in that the image data is an image taken of the oral cavity of the patient to be diagnosed using a user device including a smart terminal and a camera.

3. In paragraph 1, A personal oral disease diagnosis assistance system, wherein the clinical information of the patient to be diagnosed includes at least one of the personal information, medical history, drug allergies, and family history of the patient to be diagnosed.

4. In paragraph 1, The above dynamic knowledge base is a personal oral disease diagnosis assistance system that updates data added to existing data through at least one medical professional.

5. In paragraph 1, The above inference engine is a personal oral disease diagnosis assistance system that diagnoses the above disease of the patient to be diagnosed using a CNN (Convolutional Neural Network) or Transformer model.

6. In paragraph 1, The above inference engine is a personal oral disease diagnosis assistance system that extracts and learns medical data correlated with the oral disease from the dynamic knowledge base to diagnose the oral disease, and analyzes the oral cavity of the patient to be diagnosed based on the learned medical data to diagnose the oral disease.

7. In paragraph 1, The above oral disease diagnosis department is, If the oral cavity of the patient to be diagnosed is analyzed by the above inference engine and abnormal findings in the oral cavity, including polyps and cysts, are found, a treatment request message is output. A personal oral disease diagnosis assistance system that analyzes the oral cavity of the patient to be diagnosed using the above-mentioned inference engine and outputs a normal message if no abnormal findings in the oral cavity, including polyps or cysts, are found.

8. In paragraph 1, The above personal oral disease diagnosis assistance system further includes a data output unit, The above data output unit is a personal oral disease diagnosis assistance system that outputs one of the normal or treatment request diagnosis result messages of the oral disease diagnosis unit to the user device.

9. In paragraph 1, The above hospital recommendation unit is a personal oral disease diagnosis assistance system that recommends at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed when the oral disease diagnosis unit outputs a treatment request.

10. A step of receiving image data of the oral cavity of a patient to be diagnosed and clinical information of the patient to be diagnosed from a data receiving unit using a user device including a smart terminal and a camera; A step of configuring medical data related to the oral disease in a dynamic knowledge base to diagnose the oral disease of the patient to be diagnosed; A step of analyzing the oral cavity of the patient to be diagnosed from the image data using the inference engine of the oral disease diagnosis department that has learned the medical data of the dynamic knowledge base, and outputting a diagnosis result message of either normal or treatment request according to the abnormal findings in the oral cavity; When a request for treatment is printed from the oral disease diagnosis department above, a step for recommending hospitals in order of proximity based on the location of the patient to be diagnosed through the hospital recommendation department so that a hospital reservation can be made; A step of confirming a hospital reservation request of the patient to be diagnosed above through a hospital reservation confirmation form; and A method for assisting in the diagnosis of personal oral diseases, comprising: a step of transmitting the diagnosis result, the image data, and the clinical information to the reserved hospital server using a patient data communication unit when the hospital reservation request is confirmed through the hospital reservation confirmation unit.

11. In Article 10, A method for assisting in the diagnosis of a personal oral disease, wherein the clinical information of the patient to be diagnosed includes at least one of the personal information, medical history, drug allergies, and family history of the patient to be diagnosed.

12. In paragraph 10, The above dynamic knowledge base is a method for assisting in the diagnosis of personal oral diseases by updating data added to existing data through at least one medical professional.

13. In paragraph 10, The above inference engine is a method for assisting in personal oral disease diagnosis that diagnoses the disease of the patient to be diagnosed using a CNN (Convolutional Neural Network) or a Transformer model.

14. In paragraph 10, The process of diagnosing the oral disease using the inference engine of the oral disease diagnosis department is as follows: A step of extracting medical data having a correlation with the oral disease from the above dynamic knowledge base; A step of training the inference engine based on the medical data having a correlation with the oral disease; and A method for assisting in the diagnosis of a personal oral disease, comprising: a step of analyzing the oral cavity of the patient to be diagnosed from the image data using the inference engine that has learned the medical data, and outputting either normal or treatment request as a diagnosis result message based on abnormal findings in the oral cavity.

15. In paragraph 10, The above oral disease diagnosis department is, If the oral cavity of the patient to be diagnosed is analyzed by the above inference engine and abnormal findings in the oral cavity, including polyps and cysts, are found, a treatment request message is output. A method for assisting in the diagnosis of a personal oral disease, wherein the oral cavity of the subject patient is analyzed by the above-mentioned inference engine, and if no abnormal findings in the oral cavity, including polyps or cysts, are found, a normal message is output.

16. In paragraph 10, The above hospital recommendation section is a method for assisting in personal oral disease diagnosis, which recommends at least one hospital in order of proximity to the patient to be diagnosed using the GPS (Global Positioning System) information of the patient to be diagnosed when the oral disease diagnosis section outputs a treatment request.

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