Молодежный инновационный вестникМолодежный инновационный вестник2415-7805Федеральное государственное бюджетное образовательное учреждение высшего образования "Воронежский государственный медицинский университет имени Н.Н. Бурденко" Министерства здравоохранения Российской Федерации10491Conference ProceedingsForecasting the implementation of the Medical Decision Support System (MDSS) in dental practice in Russia and abroadSemyninaVeronika IgorevnaVera.sem.03@bk.ruhttps://orcid.org/0009-0007-9530-0207MikhailovNikolay Olegovich<p>Assistant of the Department of General and Ambulatory Surgery, N.N. Burdenko VSMU of the Ministry of Health of Russia</p>Vera.sem.03@bk.ruhttps://orcid.org/0000-0002-1710-205XSudakovOleg Valeryevich<p>M.D., Prof. of the Department of Health Care Management of the N.N. Burdenko VGMU of the Ministry of Health of Russia</p>Vera.sem.03@bk.ruhttps://orcid.org/0000-0003-2677-2300SychSofia AlekseevnaVera.sem.03@bk.ruhttps://orcid.org/0009-0008-8869-5295FGBOU VO Voronezh State University named after N.N. Burdenko of the Ministry of Health of Russia2504202514S16506532802202524032025Copyright © 2025, Semynina V.I., Mikhailov N.O., Sudakov O.V., Sych S.A.2025<p>Relevance. Development of information technology in the last decade has had a significant impact on the healthcare. It is expected that by 2030 the artificial intelligence market will reach $109 billion. In Russia, according to the estimates of the National Centre for the Development of Artificial Intelligence of the Russian Federation, 16% of healthcare organizations implement artificial intelligence. Purpose of the work. To assess the prospectivity of the use of AI in the process of dental treatment and to predict the changes in the effectiveness of treatment against the background of information technologies implementation in the practice. Materials and methods. The analysis of publications of 2021 - 2025 on the given subject in scientific library systems Elibrary, Sci-Hub, PubMed, etc. was carried out and our own conclusions were formed. Results. We identified the main areas of AI application in dentistry, singled out the use of neural networks of ANN and CNN types, which served as a basis for the creation of programs for diagnostics, treatment planning and prevention of dental diseases. Conclusions. Today the section of digitalization of medicine has a promising potential for scientific development, increasing the economic efficiency of treatment, and optimizing the daily work of the doctor.</p>artificial intelligence in dentistrymedical decision support systemartificial neural networksconvolutional neural networksmodern technologies in dentistryискусственный интеллект в стоматологиисистема помощи принятия врачебных решенийискусственные нейронные сетиконволюционные нейронные сетисовременные технологии в стоматологии1.Похлебин, П. С. Инвестиции в искусственный интеллект: оценка экономической целесообразности и потенциальные риски / П. С. Похлебин, А. В. Боднар, А. Р. Нестеренко // Информатика и кибернетика. – 2024. – № 3(37). – С. 25-31. – EDN DDDMHD.2.Богданов, М. Р. Применение искусственного интеллекта в медицине / М. Р. Богданов, Р. Р. Альхамов // Заметки ученого. – 2020. – № 10. – С. 35-39. – EDN SCHVYH.3.FDI World Dental Federation. Artificial intelligence in dentistry. Int Dent J. 2025 Feb;75(1):3-4. doi: 10.1016/j.identj.2024.12.004. PMID: 39842951; PMCID: PMC11806333.4.Архитектоника системы искусственного интеллекта и перспективы применения технологий машинного обучения в стоматологии. Обзор литературы / А. А. Долгалев, А. А. Мураев, П. А. Ляхов [и др.] // Главный врач Юга России. – 2022. – № 5(86). – EDN VSGWMU.5.Karobari MI, Adil AH, Basheer SN, Murugesan S, Savadamoorthi KS, Mustafa M, Abdulwahed A, Almokhatieb AA. Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature. Comput Math Methods Med. 2023 Jan 31;2023:7049360. doi: 10.1155/2023/7049360. PMID: 36761829; PMCID: PMC9904932.6.Nordblom NF, Büttner M, Schwendicke F. Artificial Intelligence in Orthodontics: Critical Review. J Dent Res. 2024 Jun;103(6):577-584. doi: 10.1177/00220345241235606. Epub 2024 Apr 29. PMID: 38682436; PMCID: PMC11118788.7.Wong KF, Lam XY, Jiang Y, Yeung AWK, Lin Y. Artificial intelligence in orthodontics and orthognathic surgery: a bibliometric analysis of the 100 most-cited articles. Head Face Med. 2023 Aug 23;19(1):38. doi: 10.1186/s13005-023-00383-0. PMID: 37612673; PMCID: PMC10463886.8.Miragall MF, Knoedler S, Kauke-Navarro M, Saadoun R, Grabenhorst A, Grill FD, Ritschl LM, Fichter AM, Safi AF, Knoedler L. Face the Future-Artificial Intelligence in Oral and Maxillofacial Surgery. J Clin Med. 2023 Oct 30;12(21):6843. doi: 10.3390/jcm12216843. PMID: 37959310; PMCID: PMC10649053.9.Revilla-León M, Gómez-Polo M, Vyas S, Barmak BA, Galluci GO, Att W, Krishnamurthy VR. Artificial intelligence applications in implant dentistry: A systematic review. J Prosthet Dent. 2023 Feb;129(2):293-300. doi: 10.1016/j.prosdent.2021.05.008. Epub 2021 Jun 16. PMID: 34144789.