from 01.01.2008 until now
Tyumen', Russian Federation
employee
Tyumen, Tyumen, Russian Federation
student
Tyumen, Tyumen, Russian Federation
student
Tyumen, Tyumen, Russian Federation
student
Tyumen, Tyumen, Russian Federation
UDC 616.31
Subject. This work discusses the types of artificial intelligence used in medicine in foreign countries and Russia, providing information on methods of filling the artificial intelligence information base. It presents statistics on errors made by doctors, particularly dentists, which can potentially be avoided by implementing and training in the use of artificial intelligence in their field. AI-based systems can be used to create simulators that help students practice skills in a safe environment. The Aim. To provide an overview of programs available on the international dental market that are built on the capabilities of artificial intelligence. To examine their significance, functionality, and the criticality of permissible errors. To analyze existing programs, their development process, and methods of AI training. Methodology. A review of modern scientific and methodological literature was conducted using scientific library databases PubMed, JCDA, and Frontiersin. A total of 30 sources published between 2019 and 2025 were reviewed. Conclusions. According to international research, the use of artificial intelligence in dental practice helps reduce errors by 5-15%, improves the accuracy of X-ray analysis to up to 100%, increases analysis speed by 6–10 times, enhances pathology detection accuracy to 72–95.67%, and improves periodontal disease classification accuracy to 82–87%. AI assists in developing personalized treatment plans, becoming a tool that shifts the dentist’s role toward data interpretation and strategic treatment planning. It facilitates early disease detection, optimizes administrative processes, and increases work efficiency. However, there is a risk of AI application without proper human oversight. Despite these benefits, AI does not eliminate errors and risks such as data leaks, cyberattacks, and unauthorized access.
artificial intelligence, diagnostics, personalization of treatment, optimization, errors and risks
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