Problems of Social Hygiene, Public Health and History of MedicineProblems of Social Hygiene, Public Health and History of Medicine0869-866X2412-2106Joint-Stock Company Chicot228910.32687/0869-866X-2025-33-s1-863-866Научная статьяTHE USE OF NEURAL NETWORK TECHNOLOGIES BY TEACHERS OF OLDER AGE GROUPS: A COMPARATIVE ANALYSIS OF REPRESENTATIVES OF MEDICAL AND SOCIOLOGICAL SCIENCESMalinovichE. V.NadutkinaI. E.KonevI. V.DanakinN. S.N. A. Semashko National Research Institute of Public Health, 105064, Moscow, RussiaSaint Petersburg State Agrarian University, 196601, Saint Petersburg, RussiaBelgorod State National Research University, Belgorod, Russia, 308015310820253386386629092025Copyright © 1970,1970The article presents the results of an empirical study on the use of neural network technologies by elderly university teachers representing medical and sociological sciences. The study is based on survey data from 524 academic professionals, with a focus on 60 respondents aged 60 and older. Special attention is given to the comparative analysis of digital activity, engagement with generative AI, and preferred tools (GPT, DeepSeek, GigaChat, etc.). The findings show that medical educators are more likely to use neural networks in research, while sociologists integrate them more into teaching practices. The selection of these two disciplines is justified as representative for analyzing digital adaptation in academia. The article concludes with limitations and directions for future research.neural network technologieselderly educatorsdigital adaptationgenerative AImedical sciencessociological sciencesнейросетевые технологиипожилые преподавателицифровая адаптациягенеративный искусственный интеллектмедицинские наукисоциологические науки1.Wang F., Casalino L. P., Khullar D. Artificial intelligence in geriatric medicine: challenges and opportunities // J. Gen. Intern. Med. 2023. Vol. 38, N 3. P. 521–529.2.Ienca M., Vayena E. On the responsible use of artificial intelligence in health care // Nat. Med. 2020. Vol. 26. P. 463–464.3.Kim H., Park J., Lee J. The ethics of using artificial intelligence in medical research // Kosin Med. J. 2024. Vol. 39, N 1. P. 16–23.4.Joyce K. E., Selinger E., Cohn M. Toward a sociology of artificial intelligence: a call for research on inequalities and structural change // Socius: Sociological Research for a Dynamic World. 2020. Vol. 6. P. 1–10.5.Park H., Shin S. Y., Lee H. Public perceptions of artificial intelligence in healthcare: a national survey in South Korea // BMC Med. Ethics. 2024. Vol. 25. P. 23. DOI: 10.1186/s12910-024-01052-96.Schmidt J., Braun M., Blessing L. T. Artificial intelligence in medical care: patients’ perceptions and ethical challenges // J. Med. Ethics. 2023. Vol. 49, N 2. P. 145–152.