Email this article Ethics of using modern technologies in medical education
- Authors: Shubin L.B.1, Pleshchev I.E.1
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Affiliations:
- Yaroslavl State Medical University
- Issue: Vol 18, No 2 (2025)
- Pages: 36-41
- Section: Practical bioethics
- URL: https://bakhtiniada.ru/2070-1586/article/view/382513
- DOI: https://doi.org/10.19163/2070-1586-2025-18-2-36-41
- ID: 382513
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Abstract
In recent years, artificial intelligence (AI) has become a valuable resource for medical students and healthcare professionals, allowing them to access highly specialized information and gain a deeper understanding of the subject. The use of artificial intelligence in the preparation of homework in medical schools opens up unprecedented opportunities and raises serious ethical concerns, as the use of these technologies is changing the way medical students learn and acquire knowledge. As the integration of these technologies into medical education continues, we need to understand how to ensure the integration of artificial intelligence into the educational process, while maintaining academic integrity and professional standards. In this review, we evaluate the integration of AI technology into higher medical education, how it can affect the level of teaching of clinical and fundamental disciplines in medical universities, as well as the quality of education received before future practical work in the medical field.
About the authors
Leonid B. Shubin
Yaroslavl State Medical University
Email: LBSH@yandex.ru
ORCID iD: 0000-0003-4562-7731
M.D., Cand. Sci. (Med.), Associate Professor, Division of Public Health and Healthcare
Russian Federation, YaroslavlIgor' E. Pleshchev
Yaroslavl State Medical University
Author for correspondence.
Email: doctor.pleshyov@gmail.com
ORCID iD: 0000-0002-1737-7328
M.D., Cand. Sci. (Med.), Аssociate professor of the Department of Physical Culture and Sports
Russian Federation, YaroslavlReferences
- Mosch L., Agha-Mir-Salim L., Sarica M.M., Balzer F., Poncette A. S. Artificial Intelligence in Undergraduate Medical Education. Studies in health technology and informatics. 2022;294:821–822. doi: 10.3233/SHTI220597.
- Gulaya T.M., Gerasimenko T.L. Artificial intelligence and the development of creative and critical thinking among students of non-linguistic specialties in the process of learning English. Sovremennaya nauka: aktual'nye problemy teorii i praktiki. Seriya: gumanitarnye nauki = Modern science: actual problems of theory and practice. Series: humanities. 2025;4(2);70–73. (In Russ.) doi: 10.37882/2223-2982.2025.04-2.13.
- Ng F.Y.C., Thirunavukarasu A.J., Cheng H., Tan T. F., Gutierrez L., Lan Y. et al. Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers. Cell reports. Medicine. 2023;4(10):101230. doi: 10.1016/j.xcrm.2023.101230.
- Sohail N., Puyana C., Zimmerman L., Tsoukas M.M. Artificial intelligence in dermatology: Bridging the gap in patient care and education. Clinics in dermatology. 2024;42(5): 434–436. doi: 10.1016/j.clindermatol.2024.06.009.
- Pleshchev I.E., Shkrebko A.N., Kostrov S.A., Ivashkovskaya A.V., Savgachev V.V., Efremov K.N. et al. Medical rehabilitation: ethical and legal issue research. Medical Ethics. 2024;2:34–39. (In Russ.) doi: 10.24075/medet.2024.011.
- Savgachev V.V. Ethical and legal aspects in conducting genetic research in traumatology and orthopedics. Medical ethics. 2025;2:35–39. (In Russ.) doi: 10.24075/medet.2025.003.
- Masters K. Artificial intelligence in medical education. Med Teach. 2019;41(9):976–980. doi: 10.1080/0142159X.2019.1595557.
- Stadler M., Horrer A., Fischer M.R. Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT. GMS J Med Educ. 2024;41(2): 20. doi: 10.3205/zma001675.
- Adams S.J., Mikhael P., Wohlwend J., Barzilay R., Sequist L.V., Fintelmann F.J. Artificial Intelligence and Machine Learning in Lung Cancer Screening. Thorac Surg Clin. 2023;33(4):401–409. doi: 10.1016/j.thorsurg.2023.03.001.
- Sung J. Artificial intelligence in medicine: Ethical, social and legal perspectives. Ann Acad Med Singap. 2023;52(12):695–699. doi: 10.47102/annals-acadmedsg.2023272.
- Hicke Y., Geathers J., Rajashekar N., Chan C., Jack A.G. MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education. Research gate. doi: 10.48550/arXiv.2503.05793.
- Sakelaris P.G., Novotny K.V., Borvick M.S., Lagasca G.G., Simanton E.G. Evaluating the Use of Artificial Intelligence as a Study Tool for Preclinical Medical School Exams. J Med Educ Curric Dev. 2025;12:23821205251320150. doi: 10.1177/23821205251320150.
- Tordjman M., Liu Z., Yuce M., Fauveau V., Mei Y., Hadjadj J. et al. Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning. Nature medicine. 2025. Advance online publication. doi: 10.1038/s41591-025-03726-3.
- Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. J Dent Educ. 2021; 85(1):60–68. doi: 10.1002/jdd.12385.
- Pinto Dos Santos D., Giese D., Brodehl S., Chon S.H., Staab W., Kleinert R. et al. Medical students' attitude towards artificial intelligence: a multicentre survey. European radiology. 2019;29(4):1640–1646. doi: 10.1007/s00330-018-5601-1.
- Barrett M., Brandon L., Carter S., DeLeon F., Ellis J., Gundlach C. et al. 10 Using Artificial Intelligence to Enhance Educational Opportunities and Student 11 Services in Higher Education. Journal of the Virginia Community 12 Colleges. 2019;22(1). URL: https://commons.vccs.edu/inquiry/vol22/iss1/11.
- Luo Y., Mao C., Sanchez-Pinto L.N., Ahmad F.S., Naidech A., Rasmussen L. et al. Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system. Learn Health Syst. 2024;8(3):e10417. doi: 10.1002/lrh2.10417.
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