Actual problems in dentistry Actual problems in dentistry Проблемы стоматологии 2077-7566 2412-9461 69477 10.18481/2077-7566-2023-19-2-5-10 ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ LITERATURE REVIEW ЛЕКЦИИ / ЛИТЕРАТУРНЫЕ ОБЗОРЫ MODERN APPLICATIONS AND CAPABILITIES OF ARTIFICIAL INTELLIGENCE FOR 3D VISUALIZATION IN DENTAL RESEARCH AND PRACTICE ОБЛАСТИ СОВРЕМЕННОГО ПРИМЕНЕНИЯ И ВОЗМОЖНОСТИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ 3D-ВИЗУАЛИЗАЦИИ В СТОМАТОЛОГИЧЕСКИХ ИССЛЕДОВАНИЯХ И ПРАКТИКЕ https://orcid.org/0000-0002-2716-6364 Кошелев Константин Александрович Koshelev konstantin Aleksandrovich Koshelev1987@yandex.ru

кандидат медицинских наук;

candidate of medical sciences;

 https://orcid.org/0009-0005-4428-2825 Бажанов Дмитрий Сергеевич Bazhanov Dmitriy Sergeevich bazhanov1106@icloud.com https://orcid.org/0000-0001-7843-3007 Белоусов Николай Николаевич Belousov Nikolay Nikolaevich Medbel59@mail.ru

доктор медицинских наук;

doctor of medical sciences;

 https://orcid.org/0000-0002-8022-8894 Буланов Виталий Иванович Bulanov Vitaliy Ivanovich orttma@mail.ru

кандидат медицинских наук;

candidate of medical sciences;

 https://orcid.org/0000-0002-4447-9979 Герасимов Артем Михайлович Gerasimov Artem Mihaylovich orttma@mail.ru Тверской государственный медицинский университет Тверь Россия Tver state medical universitet Tver Russian Federation Тверской государственный медицинский университет Тверь Россия Tver State Medical University Tver Russian Federation Тверской государственный медицинский университет Тверь Россия Tver state medical universitet Tver Russian Federation Тверской государственный мединский университет Тверь Россия Tver State Medical University Tver Russian Federation Тверской государственный мединский университет Тверь Россия Tver State Medical University Tver Russian Federation 21 08 2023 21 08 2023 19 2 5 10 16 08 2023 https://dental-press.ru/en/nauka/article/69477/view

Цель. Изучение доступной профильной литературы на предмет использования конусно-лучевой компьютерной томографии в челюстно-лицевой визуализации и комбинации этого метода исследования с искусственным интеллектом для улучшения диагностики и лечения сложных стоматологических заболеваний. Методология. Изучены данные специальной литературы с использованием научных поисковых библиотечных баз данных: Pub Med, Elibrary, Cochrane, Google Scholar. Результаты. Применение конусно-лучевой компьютерной томографии (КЛКТ) при обследовании пациентов, нуждающихся в протезировании, позволяет получать достаточный для планирования лечения объем диагностической информации об индивидуальной анатомии зубов, костной ткани челюстей, височно-нижнечелюстного сустава и близлежащих анатомических структур в сравнении с другими рентгенологическескими методами дополнительного обследования пациентов. Были оценены возможности этого вида исследования вместе с представителем системы искусственного интеллекта «Diagnocat» и проведен анализ их преимуществ. Также описан комплексный протокол планирования ортопедического лечения пациентов на основе цифрового (виртуального) моделирования и его преимущества для практикующего стоматолога-ортопеда. Выводы. Метод КЛКТ широко распространен в современной стоматологической практике благодаря своей точности, доступности и высокой объективности. Технологии искусственного интеллекта, внедренные в процесс планирования комплексного стоматологического лечения, постепенно становятся инструментом для практикующего врача. Автоматическое распознавание зубов и диагностика деформаций лица с использованием систем искусственного интеллекта, основанных на КЛКТ, весьма вероятно, станут областью повышенного интереса в будущем. Обзор направлен на то, чтобы дать практикующим стоматологам и заинтересованным коллегам в сфере здравоохранения всестороннее представление о текущей тенденции развития искусственного интеллекта в области 3D-визуализации в стоматологической медицине.

The aim of study. Study the available specialized literature on the use of CBCT in maxillofacial imaging and the combination of this research method with artificial intelligence to improve the diagnosis and treatment of complex dental diseases. Methodology. The data of special literature were studied using scientific search library databases: Pub Med, Elibrary, Cochrane, Google Scholar. Results. The use of cone-beam computed tomography (CBCT) in the examination of patients in need of prosthetics allows to obtain a large amount of diagnostic information about the condition of hard tissues of teeth, bone tissue of jaws, temporomandibular joint and nearby anatomical structures in comparison with other radiological methods of additional examination of patients. The possibilities of this type of research were evaluated together with a representative of the "Diagnocat" artificial intelligence system and an analysis of its advantages was carried out. It also describes a comprehensive protocol for planning orthopedic treatment of patients based on digital (virtual) modeling and its advantages for a practicing orthopedic dentist. Conclusions. The CBCT method is widely used in modern dental practice due to its accuracy, accessibility and high objectivity. Artificial intelligence technologies introduced into the planning process of complex dental treatment are gradually becoming a tool for the practitioner. Automatic recognition of teeth and diagnostics of facial deformities using artificial intelligence systems based on CBCT are very likely to become an area of increased interest in the future. The review is aimed at giving practicing dentists and interested colleagues in the field of healthcare a comprehensive understanding of the current trend in the development of artificial intelligence in the field of 3D visualization in dental medicine.

 конусно-лучевая компьютерная томография показания для депульпации зубов радиационный риск в стоматологии искусственный интеллект в стоматологии протокол ортопедического лечения cone-beam computed tomography indications for dental depulpation radiation risk in dentistry artificial intelligence in dentistry protocol of orthopedic treatment

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