USING ARTIFICIAL INTELLIGENCE IN MEDICAL TEACHING
Keywords:
artificial intelligence, medical education, personalized learning, clinical skills, diagnostic technologies, educational technologies, learning innovations, medical informatics.Abstract
The article discusses the use of artificial intelligence (AI) in educational programs for medical students. Key areas of use of AI are analyzed, including diagnostics, clinical skills training and personalized education. Particular attention is paid to the benefits of AI in increasing the accuracy and efficiency of the educational process. Examples of successful implementation of AI technologies in leading medical educational institutions are presented. Challenges and limitations associated with the use of AI in medical education are discussed, including issues of ethics and the need for technical support. The prospects for further development and integration of AI into educational programs for training future medical specialists are assessed.
References
Topol, E. J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.
Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., ... & Keane, P. A. (2019). A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health, 1(6), e271-e297.
Razzak, M. I., Naz, S., & Zaib, A. (2018). Deep learning for medical image processing: Overview, challenges and the future. In Classification in BioApps (pp. 323-350). Springer, Cham.
Chan, K. S., Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: Integrative review. JMIR Medical Education, 5(1), e13930.
Ellaway, R. H., Topps, D., Lee, S., & Paton, M. (2015). Virtual patients in medical education: a review of the literature. Medical Teacher, 37(9), 732-738.
Wang, F., Casalino, L. P., & Khullar, D. (2020). Deep learning in medicine—promise, progress, and challenges. JAMA Internal Medicine, 180(7), 986-994.






Azerbaijan
Türkiye
Uzbekistan
Kazakhstan
Turkmenistan
Kyrgyzstan
Republic of Korea
Japan
India
United States of America
Kosovo