Information system and method

Abstract

To generate advice to improve lifestyle habits for achieving a better condition by deriving a future oral cavity condition from a current oral cavity condition.SOLUTION: An information system 200 including an information terminal 250 and a server 210 communicable with the information terminal is provided. The server has: an input screen display part 231 for displaying an input screen including input fields for inputting an image of an oral cavity of a user, an intraoral cleaning state, a periodontal tissue examination, and biting condition information; a determination generation part 233 for determining a future intraoral condition on the basis of inputted information and generating advice for improving lifestyle habits; and an output screen display part 235 for display an output screen including the future intraoral condition and the advice for improving the lifestyle habits, wherein the determination generation part extracts morphological information of teeth, a dentition, and an alveolar bone from an image of an oral cavity, and performs determination and generation on the basis of the extracted morphological information, the inputted intraoral cleaning state, the periodontal tissue examination, and the biting condition by using a learned model.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to information systems and methods. [Background technology]

[0002] Conventionally, a technology for easily providing the future state of teeth has been known. For example, Patent Document 1 discloses a tooth lifespan diagnosis support device and method that can easily and objectively know the state of teeth. This device has an input screen generation unit that displays an input screen, and an evaluation screen generation unit that displays an evaluation screen. The input screen includes a number input field for inputting the number of teeth of the examinee corresponding to the deterioration level divided into multiple stages, and the evaluation screen includes a lifespan progress level display field that displays the tooth lifespan progress level calculated by a predetermined calculation formula based on the number inputted in the number input field, a tooth age display field that displays the tooth age calculated based on the examinee's lifespan progress level and the average value of the tooth lifespan progress level by age calculated from the statistical data of the Ministry of Health, Labor and Welfare's "Dental Disease Actual Situation Survey," and an age difference display field that displays the difference between the tooth age and the actual age. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-191109 A Summary of the Invention [Problem to be solved by the invention]

[0004] There is no doubt that the condition of the oral cavity, including teeth, periodontium, and alveolar bone, is important to the human body, and it is gradually becoming clear that the condition of the oral cavity affects the entire human body. Therefore, it is desirable to provide a system that derives the future condition of the oral cavity and the entire body from the current condition of the oral cavity and generates advice on improving lifestyle habits to improve the condition.

[0005] The present invention has been devised in consideration of these circumstances, and provides an information system and method that predicts the future condition of the oral cavity and the overall physical condition from the current condition of the oral cavity and generates advice for improving lifestyle habits to achieve a better condition. [Means for solving the problem]

[0006] In order to solve the above problem, an information system is provided that includes an information terminal and a server capable of communicating with the information terminal, the server having an input screen display unit that displays, on the information terminal, an input screen including input fields for inputting information on a user's age, dental prosthetic condition, and missing tooth condition, a judgment generation unit that judges a future onset probability based on the information on the user's age, dental prosthetic condition, and missing tooth condition obtained from the information input on the input screen, and generates advice for improving lifestyle habits, and an output screen display unit that displays, on the information terminal, an output screen including the onset probability judged by the judgment generation unit and the advice generated, and the judgment generation unit comprises: An information system is provided that uses training data created from information on dental prosthetic status and missing status (disease / absence) corresponding to ages at multiple points in time obtained from multiple patients who have visited the clinic in the past, and information on advice for improving lifestyle habits given to each patient, and uses a trained model generated by machine learning to output advice for improving lifestyle habits when age and information on dental prosthetic status and missing status are given, based on information on dental prosthetic status and missing status obtained from information entered on an input screen and age information. According to this, by using training data created from information on the prosthetic and missing teeth status (disease / absence) corresponding to the ages at multiple points in time obtained from multiple patients who have visited the clinic in the past, and information on advice for improving lifestyle habits given to each patient, a trained model is created through machine learning that outputs advice for improving lifestyle habits when age and information on the prosthetic and missing teeth status are given, thereby providing an information system that can predict the future condition of the entire body from the current condition of the oral cavity and generate advice for improving lifestyle habits to improve the condition.

[0007] Furthermore, the information system may be an information system including an information terminal and a server capable of communicating with the information terminal, the server having an input screen display unit that displays, on the information terminal, an input screen including input fields for inputting some or all of the information on the user's oral cavity image, oral cleaning status, periodontal tissue test, and occlusal condition, a judgment generation unit that judges a future oral cavity condition based on the information input on the input screen and generates advice for improving lifestyle habits, and an output screen display unit that displays, on the information terminal, an output screen including the future oral cavity condition judged by the judgment generation unit and / or the advice for improving lifestyle habits generated, wherein the judgment generation unit extracts morphological information of the teeth, dentition, and alveolar bone from the oral cavity image, and judges and generates based on the extracted morphological information, the input oral cleaning status, periodontal tissue test, and occlusal condition information using a trained model, and the trained model may be generated by machine learning to output the future oral cavity condition and advice for improving lifestyle habits using teacher data created from the morphological information, oral cleaning status, periodontal tissue test, and occlusal condition information. According to this, by using training data created from morphological information on teeth, dentition, and alveolar bone, oral hygiene status, periodontal tissue examination, and occlusion condition, a trained model generated by machine learning can be created that outputs advice for improving future oral conditions and lifestyle habits, thereby providing an information system that derives future oral conditions and overall body conditions from the current oral condition and generates advice for improving lifestyle habits to achieve an improved condition.

[0008] Furthermore, the input screen may further include input fields for inputting information regarding the user's parental medical history, the user's overall medical history, or a current illness. With this, by inputting information about the user's parents' medical history, the user's overall physical medical history, or current illness, it is possible to more accurately derive the future overall physical condition and generate advice for improving lifestyle habits.

[0009] In order to solve the above problem, a method is provided in which a computer executes a process of displaying, on a display device, an input screen including input fields for inputting information on a user's age, prosthetic dental condition, and missing tooth condition, receiving the information input on the input screen, determining the future probability of onset based on the information, generating advice for improving lifestyle habits, and displaying an output screen including the determined probability of onset and the generated advice on the display device, in which the generation process uses teacher data created from information on prosthetic dental condition and missing tooth condition (with / without disease) corresponding to ages at multiple points in time obtained from multiple patients who have been examined in the past, and information on advice for improving lifestyle habits given to each patient, and generates advice based on the age, prosthetic dental condition, and missing tooth condition obtained from the information input on the input screen using a trained model generated by machine learning so as to output advice for improving lifestyle habits when information on age, prosthetic dental condition, and missing tooth condition is given. According to this, By using training data created from information on the prosthetic and missing teeth status (disease / absence) corresponding to ages at multiple points in time obtained from multiple patients who have visited the clinic in the past, and information on advice for improving lifestyle habits given to each patient, a trained model generated by machine learning can be created that outputs advice for improving lifestyle habits when age and information on prosthetic and missing teeth status are given, thereby providing a method for predicting the future condition of the entire body from the current condition of the oral cavity and generating advice for improving lifestyle habits to achieve an improved condition.

[0010] In order to solve the above problem, a method is provided in which a computer is caused to execute a process of displaying, on a display device, an input screen including input fields for inputting information on a user's oral cavity image, oral cleaning status, periodontal tissue examination, and occlusal condition, receiving information input on the input screen, judging a future oral condition based on the information, generating advice for improving lifestyle habits, and displaying, on the display device, an output screen including the judged future oral condition and / or the generated advice for improving lifestyle habits, wherein the judgment and generation processes extract morphological information of the teeth, dentition, and alveolar bone from an image of the oral cavity, and judge and generate based on the extracted morphological information, the input information on the oral cleaning status, periodontal tissue examination, and occlusal condition using a trained model, and the trained model is generated by machine learning to output the future oral condition and advice for improving lifestyle habits using training data created from the information on the morphological information, oral cleaning status, periodontal tissue examination, and occlusal condition. According to this, by using training data created from morphological information on teeth, dentition, and alveolar bone, oral hygiene status, periodontal tissue examination, and occlusion condition, a trained model generated by machine learning is created that outputs advice for improving future oral conditions and lifestyle habits, thereby providing a method for deriving future oral conditions and overall body conditions from the current oral condition, and generating advice for improving lifestyle habits to improve those conditions. Effect of the Invention

[0011] As described above, according to the present invention, it is possible to provide an information system and method that predicts the future condition of the oral cavity and the overall physical condition from the current condition of the oral cavity and generates advice for improving lifestyle habits to achieve a better condition. [Brief description of the drawings]

[0012] [Figure 1] 1 shows a computer system for implementing a first embodiment of the present invention. [Diagram 2] 1 shows an example of the configuration of a dental information system according to a first embodiment of the present invention. [Diagram 3] 1 shows an example of functional blocks of a dental information system according to a first embodiment of the present invention. [Figure 4] 4 shows a flowchart of a learning section of a dental information system in a first embodiment according to the present invention. [Diagram 5] FIG. 13 is a diagram for explaining "connecting dentistry" according to the present invention. [Figure 6] 13 shows an example of the configuration of a dental information system according to a second embodiment of the present invention. [Figure 7] 13 shows an example of functional blocks of a dental information system according to a second embodiment of the present invention. [Figure 8] 13 shows a flowchart of a learning section of a dental information system according to a second embodiment of the present invention. [Figure 9] 4 shows an example of information contained in a dental system according to a second embodiment of the present invention. [Figure 10] 11 shows examples of an input screen and an output screen of a dental information system in a second embodiment according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] <Summary> In recent years, there has been a strong momentum to create new industries using medical big data and AI in the field of life sciences, including personal health records (PHRs). However, for some reason, the dental sector has been left out of the media, the medical world, and the industrial world. Many Japanese people today go to dental clinics. In the Reiwa era, dentistry is often involved in everything from pregnant women to home care. The oral cavity is strongly influenced by diet, and diseases such as cavities and periodontitis are never completely cured and leave an afterimage in the oral cavity forever. Much of this dental medical data can be digitized. Economic disparity leads to medical disparity, and this is also felt in dental care. Diseases caused by lifestyle habits appear early in the oral cavity, leaving an afterimage, and treatment at the dental clinic is repeated throughout one's life. If this can be digitized and analyzed by AI, many possibilities are possible. If sugar intake is high, cavities occur frequently in the oral cavity, and if this diet continues for a long time, the causal relationship with diabetes and other systemic diseases will become apparent. If oral hygiene is poor, periodontitis will be induced, which will increase the number of anaerobic bacteria present in the oral cavity, and there is concern that it may be linked to respiratory diseases. It is possible to create two important points: an indicator of lifestyle habits and an indicator that can be expressed from a young age. The oral cavity is a whiteboard that cannot be erased. Many companies have started to collect life science data using watches with heart rate monitors, but this is the first company in the world to consider the relationship with the oral cavity. In many countries, medical and dental schools are separate, and there is no thought of recognizing or resolving this gap. Processing life science data using AI is empirical medicine in Oriental medicine, including prevention of illness, and its use is a field in which Japan, which is an Oriental country, should take the lead. It is not clear how much evidence can be collected, but it is an idea that has a high possibility of contributing to Japan's health insurance, food industry, insurance industry, and above all, the SDGs. It is recognized that it is an idea with many uncertainties, but its feasibility and impact can be imagined. In Japan, under the universal health insurance system, many people receive maintenance at dental clinics, and that data is already buried in dental clinics. It can be easily collected without the need for new equipment or tests, as long as there is software and a platform for digitizing the data.This idea could bridge the gap between dentistry and medicine and create a unicorn in the life sciences sector.

[0014] The inventor is considering a technology that predicts the past based on experience in dental clinics, recognizes the present, and predicts the future, and leaving the current state of dental care as data. If he can complete the creation of an information platform that can handle the prediction, individualization, prevention, and participation of lifestyle-related diseases (the 4Ps of the Society 5.0 era) through the creation of a dental care data platform and the development of software for inputting data, he would like to leave the decision-making and operation of the platform to the next generation. This should be the first data that many local governments and companies will be able to obtain, and it will expand the possibilities for the development of new industries through PHR, which is currently being promoted by the government, and it also has the potential to lead to the SDGs.

[0015] <Purpose> The inventor has been practicing for about 30 years, and recently there have been many clients who have been visiting the clinic for a long time, so the inventor has had many opportunities to "check the answers" of his medical treatment and judgment. In such a situation, the natural question of how to maintain the oral cavity and the answer to it become clear. Although oral diseases, which are lifestyle-related diseases, are not the content of the treatment, but the lifestyle is the most important factor for maintaining oral function, the inventor spends most of his time explaining the treatment content and costs, which is sad. Lifestyle habits, especially diet (sugar intake), cause cavities, and oral cleaning protects teeth from pyorrhea. He should have emphasized that expensive treatments cannot maintain oral tissues, but that lifestyle changes are what are needed.

[0016] Having provided home dental treatment from the beginning of his practice, he began visiting hospitalized patients at a university hospital in 2010, providing oral treatment to over 200 hospitalized patients. In the midst of this, he noticed that there was a gap between medicine and dentistry, and that doctors had little interest in the oral cavity. In other words, the inventor is the only one who is aware of and recognizes this gap, and is also the only one who feels this discomfort. Aren't lifestyle changes important in medicine as well? He noticed that lifestyle habits induce underlying systemic diseases, and that such people are being hospitalized.

[0017] <Issues to be solved for the market and customers / Market needs (background) / Target customers> Medical expenses continue to rise, and serious illnesses caused by lifestyle-related diseases continue to plague the people. Opportunities and methods for reviewing lifestyle habits, dietary advice, etc. are not yet widely known and based on clear evidence, and it is also true that people want to somehow escape their circumstances after illness has developed. Creating indicators for lifestyle habits is an urgent task in countries that are said to be overfed. In current medical care, it seems that the role of doctors is to treat illnesses that have developed. Doctors prescribe effective medicines, perform surgical procedures, and lead the body towards recovery while causing some kind of damage. Cure = medicine This idea makes it possible to express in numbers the risk of developing future diseases due to lifestyle habits, allowing consumers to choose their future. It will be beneficial for health care providers, health insurance associations, and life insurance companies who want to reduce medical expenses due to lifestyle-related diseases. Furthermore, it will attract the attention of countries that are aiming to reduce social security costs. It is a new idea that can put a stop to gluttony, force reforms in many industries related to food habits, and contribute to the world's SDGs. Even if the inventor does not work on it now, someone will notice it. When I explain this idea to many people, they say, "I know it intuitively." The bottleneck is the digitization of dental data.

[0018] <Technologies, services, products (specific applications) and recipients> We will develop an app that records and outputs daily clinical data without placing a burden on dental clinics. Specifically, we will create simple data on the status of dental prosthetics and missing teeth in the oral cavity, as well as data on the state of periodontal disease and oral hygiene. By continuing to quantify this data and provide it in a simple format, we will be able to accumulate data that is the first of its kind in the world. And the time will soon come when X-ray images (pantomograms) will be accumulated together with intraoral 3D images.

[0019] <Overview of Technology Seeds> The above data is the calculation requirement for health insurance at dental clinics, and is an examination and treatment that is performed at any dental clinic, so no new equipment or procedures are required. In medicine, the development of apps to support image diagnosis is progressing, and image diagnosis support using AI will soon appear in dentistry. We are considering developing our own apps or collaborating with apps from developers. The rest are idea-based, but since they are numerical values, it is not thought that it will be difficult to digitize them. We aim to develop an app that focuses on converting dental data into a form that is easy for third parties to understand and outputting it.

[0020] <Technical details> Dental prosthetic status, missing teeth status: DMFT, C index (C1 C2 C3 C4 C5) Periodontal disease status: PD (Probing Depth), BOP (Bleeding On Probing), periodontal inflammation area (PISA) Oral hygiene status: PCR X-ray image (pantomography): DICOM The above data are commonly used examination items at dental clinics, and all data is in numbers except for the DICOM data of the pantomogram. We plan to simplify the data and develop it so that it can be automatically entered into the app.

[0021] <Business advantages and expected results / evaluation of similar technologies (competitive situation)> There are no previous cases in this field, and the existence of aspiration pneumonia (Effect of oral care in preventing aspiration pneumonia, Takeyoshi Yoneyama - Journal of the Japanese Geriatrics Society, 2001) and a reduction in the number of days of hospitalization due to perioperative oral care have been recognized. In recent years, there have been documents such as "Japan Dental Association Journal 2023 vol. 76 With Corona: From viral pneumonia countermeasures to aspiration pneumonia countermeasures, Kenichi Imai / Ryutaro Kobayashi" and "Japan Dental Association Journal 2023 vol. 76 Oral diseases caused by modern diet, Nobuhiro Hanada / Hiroaki Takeuchi", but these are only a part of the evidence linking medicine and dentistry. In the above paper, at the 52nd General Meeting of the Japanese Society for Anaerobic Infections on March 18, 2023, professors from the Respiratory Society made recommendations for related research on aspiration pneumonia, anaerobic bacteria, and periodontal pathogens. With the medical profession becoming increasingly interested in the oral cavity due to COVID-19, this is a timely idea, and there are only a few precedents for dental data digitization. Data from oral examinations will be recorded in numbers, just like blood test data, and eventually many people (including Japanese doctors) will be able to understand what it means. If dental medical data is included in the Next Generation Medical Infrastructure Act, the condition of the oral cavity will be clear at a glance, which will not only benefit the patient (primary use), but will also help medical doctors who treat many underlying diseases with their diagnosis and treatment (secondary use).

[0022] <Business model> The medical expenses are constantly increasing, and the people are suffering from serious illnesses caused by lifestyle-related diseases. It is necessary to show that dental medical data is closely related to illness. Diabetes-dentistry Pneumonia-dentistry Dementia-dentistry Fever of unknown cause - Dentistry There are various approaches, and papers are scattered throughout. We will work with local governments and health care providers to reduce the medical gap and promote the introduction of dental data. The inventor's idea started with the revival of his hometown, Urayasu. He was a staff member and client at the affiliated hospital of the above university, who made him realize the gap between medicine and dentistry. The university will open a health data science department in April 2023, and has agreed to cooperate with him. Urayasu City currently has a population of 170,000. The location of Tokyo Disneyland makes it the second wealthiest city in Chiba Prefecture after Narita City, but the decline of the Motomachi area is obvious when you walk near Urayasu Station on the Tozai Line. If we can get the cooperation of Urayasu City, we can prove this idea in Urayasu City, and Urayasu City can become a model city that makes full use of medical and health data, and become a base for new industries that use health data. It will be a city specializing in health near Tokyo, where elementary and junior high school students will become interns at various companies and universities during their long holidays, helping to realize new ideas and also leading to the training of future engineers.

[0023] <Explanation of Figure 5> The inventor noticed the gap between doctors and dentists, and thought of creating an index of lifestyle habits by digitizing the oral cavity condition. From the unique experience of a clinic dentist visiting a general hospital for dental treatment, he noticed the gap between medical care and dental care. A dental clinic where patients visit from childhood. A dietary habit, which is sugar intake, appears in the oral cavity as cavities from an early stage. Poor oral hygiene results in periodontitis, which causes loss of alveolar bone, and the afterimage remains in the oral cavity for a lifetime. If oral information can be matched with medical information and analyzed by AI, the relationship between past lifestyle habits and lifestyle-related diseases should be shown in numbers. For example, if a certain type of anaerobic bacteria present in the oral cavity is involved in mixed infection in the lungs in the worsening of COVID-19, a correlation between the severity of periodontitis and oral hygiene should be shown. In the case of type II diabetes, the influence of the dietary part should be large. Isn't it possible that the dietary habits originate from each family? The lifestyle habits are transmitted and inherited within the family, and their influence should be reflected in the oral cavity. Women with many cavities and a thin build may suffer from anorexia. Digitizing oral cavity information should become a communication tool between medicine and dentistry. The inventor is currently focusing on developing an app for inputting dental data. Cooperation from small municipalities, the hospitals there, and dental associations is necessary, and if a relationship is shown from that data, it may be possible to institute it under the Next Generation Medical Infrastructure Act. The important thing is that this idea can be used earlier than data from wearable devices, and is milder than card payment information. In other words, it is important to show the relationship between oral cavity conditions and lifestyle habits in numbers.

[0024] Hereinafter, embodiments of the present invention will be described with reference to the drawings. <First Example> A dental information system 200 for generating suggestions for lifestyle improvement based on dental information and a method executed in the dental information system 200 in this embodiment will be described with reference to FIGS.

[0025] First, a computer system 300 for implementing an embodiment of the present disclosure will be described with reference to Fig. 1. The mechanisms and devices of the various embodiments disclosed herein may be applied to any suitable computing system. The main components of the computer system 300 include one or more processors 302, memory 304, a terminal interface unit 312, a storage interface 314, an I / O (input / output) device interface 316, and a network interface 318. These components may be interconnected via a memory bus 306, an I / O bus 308, a bus interface unit 309, and an I / O bus interface unit 310.

[0026] Computer system 300 may include one or more general purpose programmable central processing units (CPUs) 302A and 302B, collectively referred to as processors 302. In some embodiments, computer system 300 may include multiple processors, while in other embodiments, computer system 300 may be a single CPU system. Each processor 302 executes instructions stored in memory 304 and may include an on-board cache.

[0027] In some embodiments, memory 304 may include random access semiconductor memory, storage devices, or storage media (either volatile or non-volatile) for storing data and programs. Memory 304 may store all or part of the programs, software modules, and data structures that implement the functions described herein. For example, memory 304 may store dental information application 350. In some embodiments, dental information application 350 may include instructions or descriptions that execute on processor 302 the functions described below.

[0028] In some embodiments, dental information application 350 may be implemented in hardware via semiconductor devices, chips, logic gates, circuits, circuit cards, and / or other physical hardware devices instead of or in addition to a processor-based system. In some embodiments, dental information application 350 may include data other than instructions or descriptions. In some embodiments, cameras, sensors, or other data input devices (not shown) may be provided to communicate directly with bus interface unit 309, processor 302, or other hardware of computer system 300.

[0029] Computer system 300 may include a bus interface unit 309 that provides communication between processor 302, memory 304, display system 324, and I / O bus interface unit 310. I / O bus interface unit 310 may couple to an I / O bus 308 for transferring data to and from various I / O units. I / O bus interface unit 310 may communicate via I / O bus 308 with multiple I / O interface units 312, 314, 316, and 318, also known as I / O processors (IOPs) or I / O adapters (IOAs).

[0030] The display system 324 may include a display controller, a display memory, or both. The display controller may provide video, audio, or both data to the display device 326. The computer system 300 may also include one or more devices, such as sensors, configured to collect data and provide the data to the processor 302. The display system 324 may be connected to a display device 326, such as a stand-alone display screen, a television, a tablet, or a handheld device.

[0031] The I / O interface unit provides the ability to communicate with various storage or I / O devices. For example, the terminal interface unit 312 may be attached to user I / O devices 320, such as user output devices such as a video display, a television with speakers, and user input devices such as a keyboard, a mouse, a keypad, a touchpad, a trackball, buttons, a light pen, or other pointing device. A user may use a user interface to enter input data or instructions to the user I / O devices 320 and the computer system 300, and receive output data from the computer system 300, by manipulating the user input devices. The user interface may be displayed on a display, played through speakers, or printed via a printer, for example, via the user I / O devices 320.

[0032] The storage interface 314 may be attached to one or more disk drives or direct access storage devices 322 (usually magnetic disk drive storage devices, but may also be an array of disk drives or other storage devices configured to appear as a single disk drive). In some embodiments, the storage device 322 may be implemented as any secondary storage device. Contents of the memory 304 may be stored in the storage device 322 and retrieved from the storage device 322 as needed. The I / O device interface 316 may provide an interface to other I / O devices such as printers, fax machines, etc. The network interface 318 may provide a communications path to allow the computer system 300 and other devices to communicate with each other. This communications path may be, for example, a network 330.

[0033] In some embodiments, computer system 300 may be a device that receives requests from other computer systems (clients) without a direct user interface, such as a multi-user mainframe computer system, a single-user system, or a server computer, etc. In other embodiments, computer system 300 may be a desktop computer, a portable computer, a laptop, a tablet computer, a pocket computer, a telephone, a smartphone, or any other suitable electronic device.

[0034] Next, a dental information system 200 according to the present invention will be described with reference to Fig. 2. The dental information system 200 according to the present invention includes a dental information device 210, an information terminal 250, and a dental system 260, which are connected via a communication network 255. The communication network 255 may include, for example, a local area network (LAN), a wide area network (WAN), a satellite network, a cable network, a Wi-Fi network, or any combination thereof.

[0035] The dental information device 210 is a computing device that executes a process of displaying an input screen including input fields for inputting information on the user's oral cavity image, oral cleaning status, periodontal tissue examination, and occlusion state on the display device of the information terminal 250 according to the present invention, receiving information input on the input screen, determining a future oral cavity state based on the information, generating advice for improving lifestyle habits, and displaying an output screen including the determined future oral cavity state and / or the generated advice for improving lifestyle habits on the display device of the information terminal 250. The dental information device 210 may be, for example, a desktop computer, a server computer, a laptop computer, a tablet computer, a workstation, a mobile terminal, or other types of computing devices, and is not particularly limited in the present invention.

[0036] The dental information device 210 includes a processor 211 for executing instructions stored in a memory 230, an I / O interface 212 for controlling communication between internal and external devices of the dental information device 210, a network interface 213 for controlling communication via a communication network 255, a user I / O interface 214 for accepting input from a user, a storage unit 215 for storing images representing morphological information of the teeth, dentition, and alveolar bone, oral cleaning status, periodontal tissue examination, occlusion condition, learned models, etc., a memory 230 for storing executable programs loaded to perform determination and generation processes according to an embodiment of the present invention and learning processes for generating learned models, and a bus 216 for controlling communication between these components.

[0037] The memory 230 of the dental information device 210 includes, for example, an input screen display unit 231 that displays an input screen that a user inputs to the display device of the information terminal 250 via the I / O interface 212, an input accepting unit 232 that accepts instructions and data from the user on the input screen via the I / O interface 212 as input, and also accepts dental information from the dental system 260, a judgment generation unit 233 that judges a future intraoral condition and generates advice for improving lifestyle habits based on the information input on the input screen, an output unit 234 that outputs the future intraoral condition judged by the judgment generation unit 233 and / or the advice for improving lifestyle habits generated, an output screen display unit 235 that displays an output screen including the future intraoral condition and the advice for improving lifestyle habits output by the output unit 234, and a learning unit 236 that performs machine learning based on the dental information from the dental system 260 accepted by the input accepting unit 232, and generates a learned model.

[0038] Each function included in the dental information device 210 may be realized by a software module constituting the dental information application 350 in the computer system 300 shown in Fig. 1, or may be an independent dedicated hardware device. The dental information device 210 may be operated using a display device, a keyboard, a mouse, etc. connected to this device via an I / O interface 212, or may be operated using a remote information terminal 250 connected via a communication network 255. In addition, the functions executed by each of the above-mentioned parts may be implemented in the same computing environment or in a distributed computing environment.

[0039] In this embodiment, the dental system 260 is configured to be accessible from the dental information device 210 via the communication network 255, but it does not need to be connected to the same network as the dental information device 210, and may be on an independent network, or may not be configured to be able to communicate via a network. In that case, information may be supplied from the dental system 260 to the dental information device 210 via a medium (for example, a USB memory, etc.). The dental information of the dental system 260 is information obtained from an examination performed at a dental clinic, and may be, for example, the prosthetic status, DMFT (an acronym for D (decayed), M (missing), F (filled), and T (teeth), which indicates the number of teeth that have experienced caries), C index (C1, C2, C3, and C4 are classifications that indicate the progression of caries, and each has different symptoms and treatment methods for caries. C1: enamel caries, C2: dentin caries, C3: caries that have invaded the pulp, C4: crown collapsed, C5: missing or extracted tooth), PD and BOP that indicate the state of periodontal disease, or PISA (Nesse et al., a method for calculating the periodontal pocket inflammation area from the clinical attachment level (CAL) of the periodontal pocket, the amount of gingival recession, and the value of bleeding during probing, Periodontal Inflamed Surface Area (PISA) This value can quantify not only the severity of periodontitis but also the extent of the inflammatory wound, and currently many clinical studies are being conducted to examine the relationship between the inflammatory surface area calculated using this as an index and the risk of systemic disease. See: https: / / www.perio.jp / member / news / organization / organization / medical / 6631.shtml), PCR (Plaque Control Record) which indicates oral hygiene status, and DICOM (Digital Imaging and Communication in Medicine) which indicates X-ray images (pantomograms).

[0040] The functions included in the dental information device 210 will be described with reference to Fig. 3. The respective functions included in the dental information device 210 are, as described in Fig. 2, an input screen display unit 231, an input receiving unit 232, a judgment generating unit 233, an output unit 234, an output screen display unit 235, and a learning unit 236.

[0041] The input screen display unit 231 displays an input screen including input fields for inputting information on the user's oral cavity image, oral cavity cleaning status, periodontal tissue examination, and occlusion state. Oral cavity images (for example, pantograph images taken with X-rays, CT / CBCT (Cone Beam Computed Tomography), MRI (Magnetic Resonance Imaging) taken with electromagnetic waves, images from an intraoral scanner taking optical images, etc.) are usually in DICOM format as image data, but are not limited to this. Oral cavity images include information on the history of past treatments (cavities, fillings, non-vital teeth), alveolar bone morphology, tooth loss, bone resorption images, etc., and also include oral cavity morphological information such as teeth, dentition, and alveolar bone.

[0042] Information on the oral hygiene status includes PCR (Oral Hygiene Index (OHI): an index for evaluating the proportion of plaque and tartar adhesion on the tooth surface, and Patient Hygiene Performance (PHP)), an index that quantitatively evaluates the amount of plaque adhesion on the tooth surface, and the plaque index (PII) that indicates the extent and location of adhesion. Information on periodontal tissue examination includes bleeding from the gums, pocket depth, tooth mobility, and type of bacteria (red complex). Information on occlusion status includes Eichner's classification, facial pattern, etc. In addition to the above information, information that is input may also include genetic diagnosis (SNP: Single Nucleotide Polymorphism) and caries activity test information as oral examination information. Caries activity test information is obtained from tests (samples: saliva, dental plaque) conducted to predict the possibility of future caries occurrence and progression, tests related to microbial factors (attacking factors): measuring the number of bacteria and acid production ability contained in saliva and plaque, and tests related to host factors (defensive factors): measuring the amount of saliva secreted and the salivary buffering capacity (Dreizen test), etc.

[0043] The input screen displayed by the input screen display unit 231 may further include an input field for inputting information on the medical history of the user's parents, the medical history of the entire body of the user, or a current illness. By inputting information on the medical history of the user's parents, the medical history of the entire body of the user, or a current illness, it is possible to more accurately derive the future condition of the entire body and generate advice for improving lifestyle habits.

[0044] The input receiving unit 232 transmits the information in the input fields to the dental information device 210 when the user enters information into each input field on the input screen displayed by the input screen display unit 231 and then presses a send button, and has the function of receiving the transmitted data and importing it into the dental information device 210.

[0045] The judgment generating unit 233 extracts morphological information of teeth, dentition, and alveolar bone from the image of the oral cavity stored in the storage unit 215, and judges the future oral cavity condition based on the extracted morphological information, the oral cavity cleaning condition, the periodontal tissue examination, and the occlusion condition information input from the input screen using a trained model described later, and generates advice for improving lifestyle habits. The future oral cavity condition is, for example, the number of remaining teeth and periodontal condition in 10 years. The oral cavity condition to be output in how many years may be input by the user from the input screen. In addition, the judgment generating unit 233 may judge the future whole body condition when information on the medical history or current illness of the user's entire body is input.

[0046] The output unit 234 includes outputting the future intraoral condition and lifestyle habit improvement advice visually / auditorily to the user via the I / O interface 212 by the output screen display unit 235, outputting the future intraoral condition and lifestyle habit improvement advice to another computer system via the network interface 213, and outputting the future intraoral condition and lifestyle habit improvement advice to another area of ​​the memory 230 or the storage unit 215. The output screen display unit 235 displays an output screen including the future intraoral condition and lifestyle habit improvement advice output by the output unit 234 on a display device of a remote information terminal 250 via the network interface 213. The output screen display unit 235 may also display an output screen including the future intraoral condition and lifestyle habit improvement advice output by the output unit 234 on a display device locally connected to the dental information device 210 via the I / O interface 212.

[0047] The learning unit 236 will be described with reference to FIG. 4. In the flowchart, ST indicates a step. In ST102, the dental information device 210 receives dental information from the dental system 260 at the input receiving unit 232, and stores the dental information in the storage unit 215. In ST104, the learning unit 236 reads out an image of the oral cavity, which is dental information, from the storage unit 215, and extracts morphological information of the teeth, dentition, and alveolar bone. In ST106, the learning unit 236 receives a data set as teacher data in which the extracted morphological information, the stored information on the dental prosthetic condition, the missing condition, the oral cavity cleaning condition, the periodontal tissue examination, and the occlusion condition are correlated with advice for improving the oral cavity condition and lifestyle habits in the future, generates and corrects parameters of a neural network, and generates a correlation model.

[0048] In this way, the trained model generated by the learning unit 236 is machine-learned to output advice for improving future intraoral conditions and lifestyle habits using teacher data created from morphological information, intraoral cleaning status, periodontal tissue examination, and occlusion status information. In ST108, the learning unit 236 checks whether all stored dental information has been trained, and if there is still dental information remaining, ST104 and ST106 are repeated until there is no more dental information. When there is no more dental information, the learning unit 236 stores the trained model in the storage unit 215 in ST110 and ends the process.

[0049] The above-mentioned dental information system 200 uses the trained model generated by the learning unit 236 to determine the future intraoral condition based on the information on the oral cavity image (morphological information), the oral cavity cleaning status, the periodontal tissue test, and the occlusion state input on the input screen, and generates advice for improving lifestyle habits. According to this, by creating a trained model generated by machine learning to output advice for improving the future oral condition and lifestyle habits using teacher data created from the information on the morphological information of the teeth, dentition, and alveolar bone, the oral cavity cleaning status, the periodontal tissue test, and the occlusion state, it is possible to provide an information system that derives the future oral condition and the overall body condition from the current oral condition and generates advice for improving lifestyle habits to improve the condition.

[0050] The above is also a method for making a computer execute a process of displaying an input screen including an input field for inputting information on an image of the user's oral cavity, an oral hygiene status, a periodontal tissue test, and an occlusal state on a display device, receiving information input on the input screen, judging a future oral cavity state based on the information, generating advice for improving lifestyle habits, and displaying an output screen including the judged future oral cavity state and / or the generated advice for improving lifestyle habits on the display device. In this method, the judgment and generation process extracts morphological information of the teeth, dentition, and alveolar bone from an X-ray image of the oral cavity, and judges and generates the extracted morphological information, the input oral hygiene status, the periodontal tissue test, and the occlusal state using a trained model. In addition, the trained model is generated by machine learning to output a future oral cavity state and advice for improving lifestyle habits using training data created from the morphological information, the oral hygiene status, the periodontal tissue test, and the occlusal state information. According to this, by using training data created from morphological information on teeth, dentition, and alveolar bone, oral hygiene status, periodontal tissue examination, and occlusion condition, a trained model generated by machine learning is created that outputs advice for improving future oral conditions and lifestyle habits, thereby providing a method for deriving future oral conditions and overall body conditions from the current oral condition, and generating advice for improving lifestyle habits to improve those conditions.

[0051] <Second embodiment> 6 to 10, a dental information system 200A that generates a lifestyle improvement proposal based on dental information and a method executed in the dental information system 200A in this embodiment will be described. Note that the computer system 300 for implementing the embodiment of the present disclosure is the same as that in the above embodiment, and therefore the description will be omitted. In addition, in order to avoid repetitive description, the same components as those in the above embodiment are given the same reference numerals, and the description will focus on the differences from the above embodiment.

[0052] The dental information system 200A according to the present invention includes a dental information device 210A, an information terminal 250, and a dental system 260A, which are connected via a communication network 255. The dental information device 210A is a computing device that executes a process of displaying an input screen including an input field for inputting an image of the oral cavity and age of the user on the display device of the information terminal 250 according to the present invention, receiving information input on the input screen, determining the future probability of onset of some disease related to the user's whole body based on the information, generating advice for improving lifestyle habits, and displaying an output screen including the determined future onset probability and the generated advice for improving lifestyle habits on the display device of the information terminal 250. Note that the input screen may include input fields for inputting values ​​C1 to C5 indicating the progress and symptoms of tooth decay in terms of the number of teeth, instead of an image of the oral cavity of the user.

[0053] The dental information device 210A includes a processor 211 for executing instructions stored in memory 230, an I / O interface 212 for controlling communication between internal and external devices of the dental information device 210A, a network interface 213 for controlling communication via a communication network 255, a user I / O interface 214 for accepting input from a user, a storage unit 215 for storing images representing morphological information of the teeth, dentition, and alveolar bone, and trained models obtained from dental information, a memory 230A for storing executable programs loaded to perform determination and generation processes and learning processes for generating trained models according to an embodiment of the present invention, and a bus 216 for controlling communication between these components.

[0054] The memory 230A of the dental information device 210A includes, for example, an input screen display unit 231A that displays an input screen that a user inputs to the display device of the information terminal 250 via the I / O interface 212, an input accepting unit 232A that accepts instructions and data from the user on the input screen via the I / O interface 212A and also accepts dental information from the dental system 260A, a judgment generation unit 233A that judges the future onset probability and generates advice for improving lifestyle habits based on the information input on the input screen, an output unit 234A that outputs the future onset probability judged by the judgment generation unit 233A and the generated advice for improving lifestyle habits, an output screen display unit 235A that displays an output screen including the future onset probability and the lifestyle improvement advice output by the output unit 234A, and a learning unit 236A that performs machine learning based on the dental information from the dental system 260A accepted by the input accepting unit 232A and generates a learned model.

[0055] The dental information of the dental system 260A is information obtained from an examination performed at a dental clinic, such as the age at the time of reception, information on the presence / absence of a disease in the body at the time of reception, information on the state of dental prosthetics and missing teeth, DICOM representing an X-ray image (pantograph), advice given to the patient at the time of reception, etc. Fig. 9 shows an example of dental information included in the dental system 260A. The dental information includes the patient number, sex, the patient's date of birth, the date of first consultation, the age at the time of consultation, the DMFT value at the date of first consultation, the number of C1 to C5 (MT), C index, PCR value, ..., the date of re-examination, the DMFT value at the date of re-examination, the number of C1 to C5 (MT), C index, PCR value, the presence / absence of a disease in the body, the type of disease if present, ..., the advice actually given at the time of examination, ..., an image of the oral cavity at the time of examination (pantograph image), etc.

[0056] C1 to C5 are indicators that show the progression and symptoms of tooth decay by the number of teeth. C1 is a state where the enamel on the surface of the tooth has dissolved and a hole has formed, C2 is a state where the tooth decay has progressed to the dentin inside the enamel, C3 is a state where the tooth decay has reached the nerve, C4 is a state where the tooth has completely dissolved due to tooth decay bacteria and only the root remains, and C5 is a state where the tooth is missing. The C value is a value derived based on the values ​​of C1 to C5. For example, the C value is a value calculated from the formula C1*1+C3*3+C5*5 or C1*1+C2*2+C3*3+C4*4+C5*5, and is a comprehensive indicator that shows the progression and symptoms of tooth decay by weighting C1 to C5. In the example shown in this figure, the value of C2 is added to C1.

[0057] The advice actually given during the examination includes advice given to the patient by a doctor who is highly conscious of the relationship between dental information and lifestyle-related diseases of the entire body. As will be described later, this dental information will be used as training data when the learning unit 236A learns, but if there is a shortage of data related to this advice, the advice may include advice that the doctor could give at that time based on the oral cavity image and age in order to increase the amount of training data, even if it is not actually given.

[0058] The functions included in the dental information device 210A will be described with reference to Fig. 7. The respective functions included in the dental information device 210A are, as described in Fig. 6, an input screen display unit 231A, an input receiving unit 232A, a judgment generating unit 233A, an output unit 234A, an output screen display unit 235A, and a learning unit 236A.

[0059] The input screen display unit 231A displays an input screen including an input field for inputting an image of the oral cavity and the age of the user. Images of the oral cavity (for example, pantomograms taken with X-rays, images taken with CT / CBCT (Cone Beam Computed Tomography), images taken with electromagnetic waves (MRI (Magnetic Resonance Imaging), images taken with an intraoral scanner for optical imaging, etc.) are usually in DICOM format as image data, but are not limited to this. The images of the oral cavity include information such as the history of past treatments (cavities, fillings, non-vital teeth) represented by the values ​​of C1 to C5, the morphology of the alveolar bone, tooth loss, and bone resorption, and also include morphological information of the oral cavity such as teeth, dentition, and alveolar bone. The user's age is the age of the patient at the time of the examination, and is the age at the time the image of the oral cavity to be input was taken.

[0060] The input receiving unit 232A has a function of receiving the transmitted data and importing it into the dental information device 210A, and transmits the information in the input fields to the dental information device 210A when the user enters data into each input field on the input screen displayed by the input screen display unit 231A and then presses the send button.

[0061] The judgment generating unit 233A uses image recognition technology to extract values ​​of C1 to C5, which indicate the progression and symptoms of tooth decay, from the image of the oral cavity input by the input receiving unit 232A. In this case, the image recognition technology uses a trained model for image recognition obtained based on teacher data that is a set of a large number of oral cavity images and the values ​​of C1 to C5 obtained from the images. If the input screen does not include an input field for inputting the oral cavity image but includes an input field for inputting the values ​​of C1 to C5, it is not necessary to extract the values ​​of C1 to C5 from the oral cavity image, so a trained model for image recognition is not necessary. Therefore, in this embodiment, the information input on the input screen is the user's age and information on the dental prosthetic condition and the condition of missing teeth, which are represented by the oral cavity image or the values ​​of C1 to C5.

[0062] Based on the obtained values ​​of C1 to C5, i.e., information on the dental prosthetic status and the missing tooth status, and the patient's age entered on the input screen, the trained model described later is used to determine the future onset probability and generate advice for improving lifestyle habits. The onset probability after how many years may be input by the user on the input screen, or may be a preset value, such as 20 years after the consultation or when the user turns 60 years old, and the onset probability at a predetermined age refers to the onset probability at such a time.

[0063] The output unit 234A includes outputting the future onset probability and lifestyle habit improvement advice visually / auditorily to the user via the I / O interface 212 by the output screen display unit 235A, outputting the future intraoral condition and lifestyle habit improvement advice to another computer system via the network interface 213, and outputting the future intraoral condition and lifestyle habit improvement advice to another area of ​​the memory 230A or the storage unit 215. The output screen display unit 235A displays an output screen including the future onset probability and lifestyle habit improvement advice output by the output unit 234A on the display device of the remote information terminal 250 via the network interface 213.

[0064] The learning unit 236A will be described with reference to Fig. 8. In ST202, the dental information device 210A receives dental information from the dental system 260A at the input receiving unit 232A and stores the dental information in the storage unit 215. In ST204, the learning unit 236A reads out an image of the oral cavity, which is the dental information, from the storage unit 215, extracts morphological information of the teeth, dentition, and alveolar bone, and further extracts information on the dental prosthetic condition and the condition of missing teeth, represented by values ​​of C1 to C5.

[0065] In ST206, the learning unit 236A generates a formula for calculating the probability of disease onset at a given age based on the dental information held by the dental system 260A illustrated in Fig. 9. More specifically, after removing patients who only have data from the first visit, the learning unit 236A performs multiple regression analysis using information on the dental prosthetic status and missing status classified as diseased / not diseased at multiple points in time, for example, DMFT, C1-C5, and C indexes on the first visit date and the follow-up visit date for patient numbers 6 and 8 in the example of Fig. 9, with the patient's age, values ​​of C1-C5, etc. as explanatory variables, and the probability of diseased (or disease-free) as the explained variable, to obtain a regression formula. Given the user's current age and information on the dental prosthetic status and missing status such as C1-C5, this regression formula outputs the probability of disease onset at the user's given age.

[0066] In addition, in ST208, the learning unit 236A receives as training data a data set in which the information on the dental information, such as the age at the time of reception and the information on the dental prosthetic status and the missing status by disease / absence at multiple reception times, are correlated with advice for improving lifestyle habits, and generates and corrects parameters of a neural network to generate a correlation model. More specifically, age and numerical values ​​such as C1 to C5 are vectorized, and information on advice corresponding to the vector (including not only advice actually given but also advice that may be given based on the age and numerical values ​​such as C1 to C5 at the time of creating the trained model in order to increase the training data) is correlated and trained. When the trained model trained in this way is given the vector of information on age, dental prosthetic status, and missing status as input values, it outputs advice for improving lifestyle habits corresponding to the input information on age, dental prosthetic status, and missing status. It is preferable that the learning unit 236A trains a known large-scale language model using the above-mentioned training data and fine-tunes it using dental information held by the dental system 260A. This allows advice for improving lifestyle habits generated by the decision generating unit 233A to be output in more appropriate Japanese.

[0067] In this way, the trained model generated by the learning unit 236A is machine-learned to output advice for improving lifestyle habits using teacher data created from information on dental prosthetic status and missing status by disease / non-disease status corresponding to age at the time of consultation at multiple points in time obtained from multiple patients who have been examined in the past, and information on advice for improving lifestyle habits given to each patient. In ST210, the learning unit 236A checks whether all the stored dental information has been learned, and if there is still dental information remaining, ST204 and ST208 are repeated until there is no more dental information. When there is no more dental information, the learning unit 236A stores the trained model in the storage unit 215 in ST212 and ends the process.

[0068] An overview of the operation of the dental information system 200A will be described with reference to FIG. 10. The dental information system 200A displays the file name of the oral cavity image, the age, and the gender on the input screen of the information terminal 250, and displays a field for inputting the file name, a field for inputting the age, and a field for inputting the gender to the right of each. This figure shows that the user has input the file of the oral cavity image (pantomogram image in the upper right of this figure), the age (69 years old), and the gender (female) on this input screen. Here, when the user presses the send button, the data of the specified oral cavity image, the age, and the gender are transmitted from the information terminal 250 to the dental information device 210A, and the input receiving unit 232A receives these data.

[0069] The judgment generating unit 233A uses image recognition technology to extract values ​​of C1 to C5, which indicate the progression and symptoms of tooth decay, from the oral cavity image received by the input receiving unit 232A. Since the input pantograph image shows that there are two teeth C1 with mild caries and three teeth C3 with caries that have reached the nerve, the judgment generating unit 233A extracts data of C1=1, C2=0, C3=3, C4=0, and C5=0. The judgment generating unit 233A creates V(age, dmf(c1 to c5)) using the extracted data on the dental prosthetic status and the missing status of C1 to C5 and the received age of the user as one input vector for the next process. Here, V(age, dmf(c1 to c5)) is V(69, dmf(1, 0, 3, 0, 0)).

[0070] The judgment generation unit 233 inputs this vector into the regression equation and trained model previously generated and trained by the learning unit 236A and stored in the storage unit 215, and obtains the onset probability as an explained variable from the regression equation and the advice output from the trained model. Note that the onset probability here is the onset probability 20 years from the current age. In this example, the onset probability is at age 89, and the obtained onset probability is 88%. The obtained advice for improving lifestyle habits is shown in a balloon at the bottom of this figure. Output unit 234A outputs the onset probability and advice obtained by judgment generation unit 233A to output screen display unit 235A for display on information terminal 250. Output screen display unit 235A displays an output screen including the future onset probability: 88% output by output unit 234A and advice to improve lifestyle habits (text in a speech bubble) on the display device of information terminal 250.

[0071] The above-mentioned dental information system 200A uses the trained model generated by the learning unit 236A to determine the future onset probability based on the user's age, oral cavity images, and information on dental prosthetic status and missing status such as C1 to C5 input on the input screen, and generates advice for improving lifestyle habits. According to this, by using teacher data created from information on dental prosthetic status and missing status by disease presence / absence corresponding to ages at multiple points in time obtained from multiple patients who have been examined in the past and information on advice for improving lifestyle habits given to each patient, a trained model generated by machine learning is created to output advice for improving lifestyle habits when information on age and dental prosthetic status and missing status is given, and an information system can be provided that predicts the future overall body condition from the current oral cavity condition and generates advice for improving lifestyle habits to improve the condition.

[0072] The above is also a method for making a computer execute a process of displaying an input screen including an input field for inputting information on the user's age, prosthetic dental condition, and missing tooth condition on a display device, receiving information input on the input screen, determining a future onset probability based on the information, generating advice for lifestyle improvement, and displaying an output screen including the determined onset probability and the generated advice on the display device. In this method, the generation process uses teacher data created from information on prosthetic dental condition and missing tooth condition by disease presence / absence corresponding to age at multiple points in time obtained from multiple patients who have been examined in the past, and information on advice for lifestyle improvement given to each patient, and generates advice based on the age, prosthetic dental condition, and missing tooth condition information obtained from the information input on the input screen using a trained model generated by machine learning to output advice for lifestyle improvement when information on age, prosthetic dental condition, and missing tooth condition is given.

[0073] According to this, by using training data created from information on the prosthetic and missing teeth status (disease / absence) corresponding to the age at multiple points in time obtained from multiple patients who have visited the clinic in the past, and information on advice for improving lifestyle habits given to each patient, a trained model is created using machine learning to output advice for improving lifestyle habits when age and information on the prosthetic and missing teeth status are given, thereby providing a method for predicting the future condition of the entire body from the current condition of the oral cavity and generating advice for improving lifestyle habits to achieve an improved condition.

[0074] The present invention is not limited to the illustrated examples, and may be implemented in any configuration that does not deviate from the scope of the claims. That is, the present invention has been particularly illustrated and described mainly with respect to specific embodiments, but those skilled in the art may make various modifications to the above-described embodiments in terms of the number and other details of the configuration without departing from the scope of the technical idea and purpose of the present invention. [Explanation of symbols]

[0075] 200 Dental Information System 210 Dental information device 250 Information terminal 260 Dental System 231 Input screen display section 232 Input reception section 233 Judgment generation unit 234 Output section 235 Output screen display section 236 Learning Department

Claims

1. An information system including an information terminal and a server capable of communicating with the information terminal, The server, an input screen display unit that displays an input screen including input fields for inputting information on a user's age, dental prosthetic condition, and missing tooth condition on the information terminal; a determination generating unit that determines a future onset probability based on information on the user's age, prosthetic dental condition, and missing tooth condition obtained from information input on the input screen, and generates advice for improving lifestyle habits; an output screen display unit that displays an output screen including the onset probability determined by the determination generation unit and the advice generated by the determination generation unit on the information terminal; having The judgment generation unit uses training data created from information on the dental prosthetic status and missing status classified as diseased / non-disease corresponding to ages at multiple points in time obtained from multiple patients who have been examined in the past, and information on advice for improving lifestyle habits given to each patient, and generates advice based on information on the dental prosthetic status and missing status obtained from information entered on the input screen and information on age, using a trained model generated by machine learning so as to output advice for improving lifestyle habits when age and information on the dental prosthetic status and missing status are given. Information systems.

2. the input screen display unit displays, on the information terminal, an input screen including input fields for inputting a part or all of information on an image of the user's oral cavity, an oral hygiene status, a periodontal tissue examination, and an occlusion status of the user; The judgment generating unit is Extract morphological information of teeth, dentition, and alveolar bone from images of the oral cavity, Based on the extracted morphological information, the input information on oral hygiene, periodontal tissue examination, and occlusion status, the trained model is used to predict future oral conditions and generate advice for improving lifestyle habits. The trained model is generated by machine learning to output advice for improving future oral conditions and lifestyle habits using teacher data created from morphological information, oral hygiene status, periodontal tissue examination, and occlusion status information; The output screen display unit displays, on the information terminal, an output screen including the future intraoral condition determined by the determination generation unit and / or the advice for improving lifestyle habits generated by the determination generation unit.

2. The information system according to claim 1 .

3. 3. The information system according to claim 2, wherein the input screen further includes input fields for inputting information regarding the medical history of the user's parents, the medical history of the user's entire body, or a current illness.

4. displaying, on the display device, an input screen including input fields for inputting information on the user's age, dental prosthetic condition, and missing tooth condition; receiving information inputted on the input screen, judging a future onset probability based on the information, and generating advice for improving lifestyle habits; displaying an output screen including the determined onset probability and the generated advice on the display device; A method for causing a computer to execute a process, comprising the steps of: The generation process includes: Using training data created from information on the dental prosthetic status and missing status classified as diseased / undiseased corresponding to ages at multiple points in time obtained from multiple patients who have been examined in the past, and information on advice for improving lifestyle habits given to each patient, a trained model generated by machine learning is used to output advice for improving lifestyle habits when information on age, dental prosthetic status, and missing status is given, and is generated based on information on age, dental prosthetic status, and missing status obtained from information entered on the input screen. method.

5. displaying, on the display device, an input screen including input fields for inputting a part or all of the information on the user's oral cavity image, oral hygiene status, periodontal tissue examination, and occlusion state; Receives information input on the input screen, determines future oral condition based on the information, and generates advice for improving lifestyle habits; displaying, on the display device, an output screen including the determined future oral condition and / or the generated advice for improving lifestyle habits; A method for causing a computer to execute a process, comprising the steps of: The determination and generation process includes: Extract morphological information of teeth, dentition, and alveolar bone from images of the oral cavity, Using the trained model, a judgment is made and generated based on the extracted morphological information, the input oral hygiene status, periodontal tissue examination, and occlusion status information. The trained model was generated by machine learning to output advice for improving future oral conditions and lifestyle habits using training data created from morphological information, oral cleaning status, periodontal tissue examination, and occlusion status information. method.

Images