WO2024030104A1 - System for the detection of periodontal health with artificial intelligence - Google Patents

System for the detection of periodontal health with artificial intelligence Download PDF

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Publication number
WO2024030104A1
WO2024030104A1 PCT/TR2023/050761 TR2023050761W WO2024030104A1 WO 2024030104 A1 WO2024030104 A1 WO 2024030104A1 TR 2023050761 W TR2023050761 W TR 2023050761W WO 2024030104 A1 WO2024030104 A1 WO 2024030104A1
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Prior art keywords
data
periodontal
artificial intelligence
periodontal health
health
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PCT/TR2023/050761
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French (fr)
Inventor
Didem ÖZKAL EMİNOĞLU
Serdar AYDIN
Fatih Mehmet ÖZKAL
Original Assignee
Atatürk Üni̇versi̇tesi̇ Rektörlüğü Bi̇li̇msel Araştirma Projeleri̇ ( Bap ) Koordi̇nasyon Bi̇ri̇mi̇
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Publication of WO2024030104A1 publication Critical patent/WO2024030104A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0013—Medical image data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0088—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30036—Dental; Teeth

Definitions

  • the present invention relates to the periodontal health detection system with artificial intelligence in order to ensure that patients reach health care with accurate, effective diagnosis and treatments with the help of data on periodontal disease, by presenting the recommendations for the diagnosis of the patient's current disease and treatment plans to the physician.
  • Periodontal health describes the healthy state of the periodontal membrane, alveolar bone, cementum layer and gingiva, which are the tissues surrounding and supporting the tooth.
  • Periodontal disease is the general definition of the disorders that occur in these tissues. Periodontal disease has many sub-titles. These can be chronic inflammatory diseases (gingivitis, periodontitis) and acute periodontal disorders (acute ulcerative gingivitis, acute ulcerative periodontitis), it can vary from gingival recession, gingival enlargement, mobility in teeth, irregularities in anatomical structures (tight frenulum connection, shallow vestibule, etc.), to acute abscess formations.
  • Periodontal health Determination of periodontal health is carried out with the following; anamnesis taken from the patient (general health and dental health history, previous visit to the dentist and treatment histories, etc.), visual / manual extraoral examination of the patient, radiographic examinations, intraoral examination with instruments. It is clear that there is a need for computer aided structures for the periodontal health detection with artificial intelligence so as to ensure that patients reach health care with accurate, effective diagnosis and treatments with the help of data on periodontal disease, by presenting the recommendations for the diagnosis of the patient's current disease and treatment plans to the physician.
  • the indices contain the information that must be entered individually for each tooth. It is a very laborious and time-consuming effort to examine the teeth one by one and enter the data for different indices each time due to its clinical intensity.
  • the data on these indices can be detected by artificial intelligence with an application to be developed, and the calculation process can be done quickly and simply with the image taken from the tooth with the intraoral imaging system or the data (for example, there is a special periodontal probe that connects to a computer to measure probable pocket depth. Artificial intelligence can easily calculate the data transmitted by this probe and give the physician the difference between sessions and the current situation) transferred by an auxiliary device at once.
  • the difference between sessions can be shown with graphs.
  • Patient motivation and health development can be understood with the data file to be created about the patient.
  • the time spent by the patient in the dental chair will be greatly reduced. There is a fear, even a phobia, of dental treatments in the general population. Reducing the time spent by the patient in the chair will also be beneficial in reducing this fear.
  • the physician does not have to look at each data visually or measure it with the help of an instrument and write it down one by one and then make mathematical calculations.
  • Our invention has a wide range of different procedures such as image processing, machine learning and deep learning algorithms.
  • Artificial intelligence can be used to minimize the potential risks of diagnosis for a patient, to make the diagnosis quickly and accurately and to notify the healthcare provider.
  • the system uses mining of existing health records or ready-made datasets to train one or more artificial intelligence algorithms and/or deep learning algorithms, the current periodontal health records of the patient can be examined by artificial intelligence, and diagnosis and verification processes can be performed with the artificial intelligence developed as a result of the training.
  • the present invention includes a software/hardware or embedded system incorporating machine learning, deep learning or artificial intelligence techniques to detect periodontal health or identify potential risks to personal periodontal health.
  • intraoral images can be taken via mobile phones, individuals can control the risk of periodontal disease at home and detect diseases at an early stage with an application to be installed on mobile phones.
  • the invention may already have its own dedicated camera, as well as using a hardware camera, thus, parts of the periodontal region that are difficult to see from the outside can be viewed and processed by artificial intelligence with high resolution flexible cameras.
  • the data collected with the invention can be continuously interpreted by specialist physicians, and these data can be fed back to the application, thus perfecting the training of artificial intelligence.
  • the patient's health development status is recorded with the help of the patient's data file. It can be made clear easily for the physician and the patient with various visual presentation forms.
  • Figure 1 Representative general view of the present invention DESCRIPTION OF THE INVENTION
  • the present invention describes the detection of periodontal health with artificial intelligence, and described without limitation as follows;
  • Decision support system (1) is the system that will make analysis with artificial intelligence and/or other decision-making processes and provide information about the current state of the disease and make recommendations for treatment.
  • External image source (2) is the source from which images of the periodontal region will be taken, it could be image data from intraoral camera phone camera or pacs system,
  • Big data infrastructure (3) is a relational and/or non-relational database/warehouse/repository where a wide variety of data coming from external image sources or other data sources will be stored.
  • Database (5) is the data store/warehouse/base where the relational data of patients and physicians will be stored.
  • Periodontal health detection device (6) is a system, in which meaningful data is produced by processing images with artificial intelligence / deep learning / artificial neural network technologies, in which periodontal images will be processed and the disease process will be analyzed, can be integrated with the device as a hardware structure or can be connected to devices as a separate module, which are embedded systems that host/or do not host smartphones, computers, servers, wearables or Field Programmable Gate Arrays (FPGAs) technologies.
  • This devices may contain the following; screen (6.1), periodontal health detection module (6.2) consisting of hardware and/or software for detecting periodontal health, processor (6.3) for device management, communication module (6.4) to enable the device to communicate with other devices.
  • Communication infrastructure (7) is the internet, intranet mobile network, bluetooth like wireless services, notification services, etc., which are involved in the communication of the elements in the system with each other.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Epidemiology (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Primary Health Care (AREA)
  • General Physics & Mathematics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The present invention relates to the periodontal healt detection system with artificial intelligence in order to ensure that patients reach health care with accurate, effective diagnosis and treatments with the help of data on periodontal disease, by presenting the recommendations for the diagnosis of the patient's current disease and treatment plans to the physician.

Description

SYSTEM FOR THE DETECTION OF PERIODONTAL HEALTH WITH ARTIFICIAL INTELLIGENCE
FIELD OF THE INVENTION
The present invention relates to the periodontal health detection system with artificial intelligence in order to ensure that patients reach health care with accurate, effective diagnosis and treatments with the help of data on periodontal disease, by presenting the recommendations for the diagnosis of the patient's current disease and treatment plans to the physician.
STATE OF THE ART
Periodontal health describes the healthy state of the periodontal membrane, alveolar bone, cementum layer and gingiva, which are the tissues surrounding and supporting the tooth.
Periodontal disease is the general definition of the disorders that occur in these tissues. Periodontal disease has many sub-titles. These can be chronic inflammatory diseases (gingivitis, periodontitis) and acute periodontal disorders (acute ulcerative gingivitis, acute ulcerative periodontitis), it can vary from gingival recession, gingival enlargement, mobility in teeth, irregularities in anatomical structures (tight frenulum connection, shallow vestibule, etc.), to acute abscess formations.
Determination of periodontal health is carried out with the following; anamnesis taken from the patient (general health and dental health history, previous visit to the dentist and treatment histories, etc.), visual / manual extraoral examination of the patient, radiographic examinations, intraoral examination with instruments. It is clear that there is a need for computer aided structures for the periodontal health detection with artificial intelligence so as to ensure that patients reach health care with accurate, effective diagnosis and treatments with the help of data on periodontal disease, by presenting the recommendations for the diagnosis of the patient's current disease and treatment plans to the physician.
DEFINITION OF THE INVENTION
Said invention meets the needs described in the state of the art.
Indices that measure the health status are used during the intraoral examination.
The indices contain the information that must be entered individually for each tooth. It is a very laborious and time-consuming effort to examine the teeth one by one and enter the data for different indices each time due to its clinical intensity. The data on these indices can be detected by artificial intelligence with an application to be developed, and the calculation process can be done quickly and simply with the image taken from the tooth with the intraoral imaging system or the data (for example, there is a special periodontal probe that connects to a computer to measure probable pocket depth. Artificial intelligence can easily calculate the data transmitted by this probe and give the physician the difference between sessions and the current situation) transferred by an auxiliary device at once.
The difference between sessions can be shown with graphs. Patient motivation and health development can be understood with the data file to be created about the patient.
It is possible to provide the patients with accurate and effective diagnosis and treatments, by presenting the recommendations for the diagnosis of the patient's current disease and the treatment plans to the physician with the help of the data on periodontal disease.
First of all, the time spent by the patient in the dental chair will be greatly reduced. There is a fear, even a phobia, of dental treatments in the general population. Reducing the time spent by the patient in the chair will also be beneficial in reducing this fear. The physician does not have to look at each data visually or measure it with the help of an instrument and write it down one by one and then make mathematical calculations.
Our invention has a wide range of different procedures such as image processing, machine learning and deep learning algorithms. Artificial intelligence can be used to minimize the potential risks of diagnosis for a patient, to make the diagnosis quickly and accurately and to notify the healthcare provider. The system uses mining of existing health records or ready-made datasets to train one or more artificial intelligence algorithms and/or deep learning algorithms, the current periodontal health records of the patient can be examined by artificial intelligence, and diagnosis and verification processes can be performed with the artificial intelligence developed as a result of the training.
The present invention includes a software/hardware or embedded system incorporating machine learning, deep learning or artificial intelligence techniques to detect periodontal health or identify potential risks to personal periodontal health.
For example, intraoral images can be taken via mobile phones, individuals can control the risk of periodontal disease at home and detect diseases at an early stage with an application to be installed on mobile phones.
The invention may already have its own dedicated camera, as well as using a hardware camera, thus, parts of the periodontal region that are difficult to see from the outside can be viewed and processed by artificial intelligence with high resolution flexible cameras.
The data collected with the invention can be continuously interpreted by specialist physicians, and these data can be fed back to the application, thus perfecting the training of artificial intelligence.
The patient's health development status is recorded with the help of the patient's data file. It can be made clear easily for the physician and the patient with various visual presentation forms.
The time spent by the physician with the patient regarding the diagnosis is reduced with the present invention.
More time remains for treatment. Thus, a more effective treatment service is provided to the patient. Furthermore, more patients can be served since the time allocated to a patient will decrease.
It can guide physicians with the help of the artificial intelligence-assisted decision support system. Provide physicians with appropriate treatment steps for the disease. It reduces the possibility of physicians making mistakes.
If deemed necessary, users can monitor their Periodontal health with their own mobile devices.
REFERENCE LIST
1 . Decision support system
2. External Image Source
3. Big Data Infrastructure
4. Web Application or Desktop Application or Mobile Application or Wearable technology for user
5. Database
6. Periodental Health Detection Device
6.1 . Screen
6.2. Periodontal health detection module
6.3. Processor
6.4. Communication module
7. Communication infrastructure
BRIEF DESCRIPTION OF DRAWINGS
Figure 1 : Representative general view of the present invention DESCRIPTION OF THE INVENTION
The present invention describes the detection of periodontal health with artificial intelligence, and described without limitation as follows;
Decision support system (1): is the system that will make analysis with artificial intelligence and/or other decision-making processes and provide information about the current state of the disease and make recommendations for treatment.
External image source (2): is the source from which images of the periodontal region will be taken, it could be image data from intraoral camera phone camera or pacs system,
Big data infrastructure (3): is a relational and/or non-relational database/warehouse/repository where a wide variety of data coming from external image sources or other data sources will be stored.
Web application or desktop application or mobile application or wearable technology for the end user (4): it can be web application or desktop application where the data/decisions produced by the whole system to be used by patients and/or physicians will be displayed and/or followed, mobile application running on mobile devices or wearable technology accessories such as glasses and watches.
Database (5): is the data store/warehouse/base where the relational data of patients and physicians will be stored.
Periodontal health detection device (6) is a system, in which meaningful data is produced by processing images with artificial intelligence / deep learning / artificial neural network technologies, in which periodontal images will be processed and the disease process will be analyzed, can be integrated with the device as a hardware structure or can be connected to devices as a separate module, which are embedded systems that host/or do not host smartphones, computers, servers, wearables or Field Programmable Gate Arrays (FPGAs) technologies. This devices may contain the following; screen (6.1), periodontal health detection module (6.2) consisting of hardware and/or software for detecting periodontal health, processor (6.3) for device management, communication module (6.4) to enable the device to communicate with other devices.
Communication infrastructure (7): is the internet, intranet mobile network, bluetooth like wireless services, notification services, etc., which are involved in the communication of the elements in the system with each other.

Claims

CLAIMS System for the detection of periodontal health with artificial intelligence, characterized in that, it consists of the following;
• a decision support system (1) that will make analysis with artificial intelligence and/or other decision-making processes and provide information about the current state of the disease and make recommendations for treatment,
• external image source (2) from which images of the periodontal region will be taken, which comprises image data from intraoral camera phone camera or pacs system or any other hardware,
• big data infrastructure (3), which is a relational and/or non-relational database/warehouse/repository where a wide variety of data coming from external image sources or other data sources will be stored,
• web application or desktop application or mobile application or wearable technology for the end user (4), which can be web application where the data/decisions produced by the whole system to be used by patients and/or physicians will be displayed and/or followed, mobile application running on mobile devices or wearable technology accessories such as glasses and watches,
• database (5), which is the data store/warehouse/base where the relational data of patients and physicians will be stored,
• periodontal health detection device (6), which is a system, in which meaningful data is produced by processing images with artificial intelligence / deep learning / artificial neural network technologies, in which periodontal images will be processed and the disease process will be analyzed, can be integrated with the device as a hardware structure or can be connected to devices as a separate module, which are embedded systems that host/or do not host smartphones, computers, servers, wearables or Field Programmable Gate Arrays (FPGAs) technologies. Periodontal health detection device according to Claim 1, characterized in that; it comprises periodontal health detection module (6.2), consisting of hardware and/or software for detecting periodontal health, processor (6.3) for device management, communication module (6.4) to enable the device to communicate with other devices, an optional screen (6.1) to show data.
PCT/TR2023/050761 2022-08-04 2023-08-02 System for the detection of periodontal health with artificial intelligence WO2024030104A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2022/012385 2022-08-04
TR2022/012385A TR2022012385A2 (en) 2022-08-04 2022-08-04 DETECTION OF PERIODONTAL HEALTH WITH ARTIFICIAL INTELLIGENCE

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112037913A (en) * 2020-09-15 2020-12-04 南昌大学 Intelligent periodontitis detection method and system based on convolutional neural network
US20220008180A1 (en) * 2018-11-01 2022-01-13 3Shape A/S Method and system for measuring periodontal pocket depth
US20220189611A1 (en) * 2020-12-11 2022-06-16 Align Technology, Inc. Noninvasive multimodal oral assessment and disease diagnoses apparatus and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220008180A1 (en) * 2018-11-01 2022-01-13 3Shape A/S Method and system for measuring periodontal pocket depth
CN112037913A (en) * 2020-09-15 2020-12-04 南昌大学 Intelligent periodontitis detection method and system based on convolutional neural network
US20220189611A1 (en) * 2020-12-11 2022-06-16 Align Technology, Inc. Noninvasive multimodal oral assessment and disease diagnoses apparatus and method

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