Actual problems in dentistry Actual problems in dentistry Проблемы стоматологии 2077-7566 2412-9461 101386 10.18481/2077-7566-2025-21-2-29-36 ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ LITERATURE REVIEW ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ ARTIFICIAL INTELLIGENCE IN DENTAL PRACTICE. RELEVANCE. OVERVIEW. RISKS ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В РАБОТЕ ВРАЧА-СТОМАТОЛОГА. АКТУАЛЬНОСТЬ. ОБЗОР. РИСКИ https://orcid.org/0000-0001-8664-0778 Мирошниченко Виктория Владиславовна Miroshnichenko Viktoriya Vladislavovna vikam73@mail.ru

кандидат медицинских наук;

candidate of medical sciences;

 Кинарова Марина Владимировна Kinarova Marina V. kinarova61@mail.ru Андреева Полина Игоревна Andreeva Polina I. summerlypie@mail.ru Бакина Милена Леонидовна Bakina Milena L. milena-bakina@mail.ru Поленова Анастасия Алексеевна Polenova Anastasia A. an.polenova2002@yandex.ru Тюменский государственный медицинский университет Tyumen State Medical University Тюменский государственный медицинский университет Тюмень Россия Tyumen State Medical University Tyumen Russian Federation Тюменский государственный медицинский университет Тюмень Россия Tyumen State Medical University Tyumen Russian Federation Тюменский государственный медицинский университет Тюмень Россия Tyumen State Medical University Tyumen Russian Federation Тюменский государственный медицинский университет Тюмень Россия Tyumen State Medical University Tyumen Russian Federation 28 07 2025 28 07 2025 21 2 29 36 15 07 2025 https://dental-press.ru/en/nauka/article/101386/view

Предмет. В работе рассмотрены виды искусственного интеллекта (ИИ), применяемые в медицине зарубежных стран и России, освещена информация о способах наполнения информационной базы искусственного интеллекта. Приведена статистика совершаемых ошибок врачами и, в частности, врачами-стоматологами, которые возможно избежать, внедрив и обучившись применению искусственного интеллекта в своей сфере деятельности. Системы, основанные на искусственном интеллекте, могут использоваться для создания симуляторов, которые помогают студентам отрабатывать навыки в безопасной среде. Цель. Предоставить обзор программ, существующих на международном стоматологическом рынке, созданных на основе возможностей искусственного интеллекта. Рассмотреть их значимость, работоспособность, критичность допускаемых ошибок. Проанализировать существующие программы, процесс их создания и способы обучения искусственного интеллекта. Методология. Произведен анализ 30 литературных источников, опубликованных за период с 2019 по 2025 гг. в научных библиометрических базах данных PubMed, JCDA, Frontiersin. Выводы. По данным международных исследований использование искусственного интеллекта в работе врача-стоматолога помогает снизить ошибки врачей на 5–15%, точность анализа рентгенограмм: до 100%, скорость анализа: в 6–10 раз, точность обнаружения патологий на 72–95,67%, точность классификации заболеваний пародонта на 82–87%. Искусственный интеллект помогает разрабатывать персонализированные планы лечения, становится инструментом врача, изменяя его роль в сторону интерпретации данных и стратегического планирования лечения. Способствует раннему выявлению заболеваний. Оптимизирует административные процессы и повышает эффективность работы. Однако существует опасность применения искусственного интеллекта без должного контроля со стороны человека. Несмотря на перечисленные положительные стороны, искусственный интеллект не исключает погрешности и риски, такие как утечка данных, кибератаки, несанкционированный доступ.

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.

 искусственный интеллект диагностика персонализация лечения оптимизация ошибки и риски artificial intelligence diagnostics personalization of treatment optimization errors and risks

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