The use of artificial intelligence in therapeutic dentistry

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All programs using artificial intelligence for diagnostics in dentistry are based on the use of neural networks, which in turn are divided into two types, networks working at the surface level of calculation and comparison of clinical situations and networks with deep neural networks of different levels of calculation [1]. Therapeutic dentistry uses artificial intelligence-based programs that use deep neural learning at their core, which allows them to analyze and classify data, thereby supporting the possibility of deep learning, similar to neurons in the human brain. Programs based on deep neural learning are used in the practice of a dentist therapist to process and diagnose complex two-dimensional and three-dimensional images.
In therapeutic dentistry, the main task is high-quality diagnostics, from which the course and quality of treatment will be envied in the future. Most often in the practice of a dentist therapist, methods of visual assessment of the condition of the hard tissues of the tooth and the oral mucosa are used, but visual assessment can not always give the necessary picture of the developing whitening and its course, and radiation diagnostics in some clinical situations can harm the patient, which may affect the quality of treatment. It is in such situations that programs using artificial intelligence are used. The main method that artificial intelligence uses is image analysis. Programs using artificial intelligence analyze X-rays and photographs of teeth, oral mucosa [2]. And, based on a deep database, they can detect whitening of hard tooth tissues, periodontitis and other whitening of the dental system with great accuracy.
One of the programs using artificial intelligence, which can be used by a dentist therapist at his appointment in the diagnosis of diseases of the hard tissues of the tooth, is the "Diagnosis of caries" from the Dental Monitoring company. This program uses the analysis of photographs received from the patient, after which, based on the data obtained, the patient receives a high-quality diagnosis and treatment plan.
The main task of programs using artificial intelligence, primarily at a dentist's appointment, is to qualitatively diagnose the pathology of the dental system and build an individual treatment plan. One of these programs is the Diagnocat system. The Diagnocat program works on the basis of deep neural learning, analyzing the patient's CBCT in different sections and in just 5 minutes is able to provide a high-quality report on the diagnosis of each tooth and the condition of the dental system as a whole. Diagnocat is able to calculate the risks of developing the disease and what this disease can lead to. The program also helps the dentist to quickly identify complex, abnormally decomposed and additional channels in high-quality endodontic treatment. To diagnose changes in periodontal tissues at the early stages of the development of the pathological process, which allows the program to predict the development of further disease and prevent it [3]. Diagnocat allows the doctor to quickly analyze different clinical situations, the program also offers different treatment options, it is enough for the doctor to confirm the diagnosis in the program if he agrees with it or correct it in the program and save it [4]. Thus, the possibility of the program and its learning rate will be expanded, which will contribute to a deeper and better level of diagnosis and aging of the treatment plan.
In the practice of a dentist, a therapist often uses networks with a superficial level of calculation and analysis, these are programs that chant a certain sect and issue a report of the scan, so the doctor himself makes decisions about the condition of the dental system and building a treatment plan. One of these programs is the DIANA program, this program works on the principle of analyzing not radiation research methods, but photographs. The program loads from 2 to 4 photos taken by the patient after staining the teeth with a plaque indicator. The program divides the photo into sectors and scans the resulting fragments, providing the result of calculating the percentage of plaque on the teeth and the risk of oral diseases. By applying this program at his appointment, the dentist therapist will be able to visually show the patient his condition of the dental system and choose the optimal treatment and prevention plan, we also receive a photoprotocol and will be able to visually observe the dynamics of treatment in the next visit to the patient.
Conclusion. Thus, programs using artificial intelligence have great potential in improving the quality of treatment and optimizing work processes. However, it is necessary to take into account the risks of spreading and leaking patient confidentiality and preventing significant errors in diagnosis and the presence of various pathologies of the dental system. Despite all the positive aspects, these are still relatively new programs and nothing can replace a doctor. In the future, artificial intelligence will be used as one of the most important tools of a dentist therapist at his appointment, which will optimize the processes of diagnosis and treatment, lead to the best results in

About the authors

Valeriy Kuznetsov

Voronezh State Medical University named after N.N. Burdenko

Author for correspondence.
Email: valera_kuznetsov00@mail.ru
ORCID iD: 0009-0005-5904-3552

3rd year student of the Institute of Dentistry

Russian Federation, 394036, 10 Studentskaya Street, Voronezh, Russia

Elena Vladimerovna Vusataya

Voronezh State Medical University

Email: Lena-elena099@mail.ru
ORCID iD: 0000-0002-5057-5545
SPIN-code: 5540-6177

Ph.D., Associate Professor of the Department of Therapeutic Dentistry

Russian Federation, 394036, Russia, Voronezh, Studencheskaya, d.10

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