[The use of artificial intelligence in modern dentistry in the Russian Federation].

Abstract

Objective: The aim of the study is to identify the prospects and possibilities of using artificial intelligence (AI) and domestic software in the provision of organization dental care in the Russian Federation.

Materials and methods: An analysis of the actual situation on the use of domestic computer programs using AI for the provision of medical care in the Russian Federation was carried out based on information presented on the official websites of software developers, in scientific sources of information and analytical systems of the Higher Attestation Commission, eLibrary, PubMed, Scopus, Google Scholar. Content analysis and analytical method were used, followed by interpretation of the data and conclusions obtained.

Results: To date, information technologies and domestic software aimed at automation, improving safety and quality of medical care are being actively introduced. The requirements for AI-based programs are justified, namely: safety, accessibility for medical professionals and patients, as well as high competitiveness among developers. AI helps to process large amounts of medical data, contributes to the creation of a personalized approach to patient treatment, automates and optimizes administrative processes in healthcare, increases the accuracy of diagnosis, identification of early signs of the disease, predicts the outcome of treatment, neural networks accelerate the development of remote healthcare and telemedicine. However, it is the doctor who should be responsible for the decisions made based on the "tips" and recommendations of artificial intelligence.

Conclusion: The use of computer programs using artificial intelligence in dentistry opens up significant prospects for improving the quality of medical care, interaction with patients and improving the level of education of doctors. The most popular programs will be in therapeutic and pediatric dentistry, aimed, among other things, at the prevention of dental diseases.