Features of teaching artificial intelligence within higher medical education programs
https://doi.org/10.18705/2782-3806-2025-5-2-154-165
EDN: XPGBFE
Abstract
The article is devoted to the analysis of the current state of teaching artificial intelligence (AI) within higher medical education and the development of a multi-stage student-training model. It is shown that despite the high level of student interest, formal AI courses are still extremely limited in medical universities. A model is proposed that includes basic familiarization with AI in the early years, elective courses during the senior years, specialized training within residency programs, and continuing professional education modules. The connection between AI education and the objectives of personalized medicine is emphasized, along with the need to develop digital competencies among future physicians. The implementation of the proposed model is expected to contribute to the modernization of medical education and the preparation of healthcare professionals ready to effectively utilize AI technologies in clinical practice.
About the Authors
T. G. Avacheva
Ryazan State Medical University
Russian Federation
Russian Federation
Avacheva Tatyana G., candidate of physical and mathematical sciences, docent, head of the department of mathematics, physics and medical informatics
Vysokovoltnaya str., 9, Ryazan, 390023
O. A. Milovanova
Ryazan State Medical University
Russian Federation
Russian Federation
Milovanova Oksana A., candidate of physical and mathematical sciences, docent at the department of mathematics, physics and medical informatics
Vysokovoltnaya str., 9, Ryazan, 390023
A. A. Krivushin
Ryazan State Medical University
Russian Federation
Russian Federation
Krivushin Aleksandr A., senior lecturer at the department of mathematics, physics, and medical informatics
Vysokovoltnaya str., 9, Ryazan, 390023
S. A. Prohina
Ryazan State Medical University
Russian Federation
Russian Federation
Prohina Sofya A., student at the faculty of general medicine
Vysokovoltnaya str., 9, Ryazan, 390023
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Review
For citations:
Avacheva T.G., Milovanova O.A., Krivushin A.A., Prohina S.A. Features of teaching artificial intelligence within higher medical education programs. Russian Journal for Personalized Medicine. 2025;5(2):154-165. (In Russ.) https://doi.org/10.18705/2782-3806-2025-5-2-154-165. EDN: XPGBFE
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