Digital Transformation of Medical Education: the Role of Artificial Intelligence

This article analyzes the impact of the digital transformation of medical education, particularly the integration of artificial intelligence (AI), on the development of professional competencies among medical students. It has been found that the systematic implementation of AI in learning processes, knowledge assessment, and clinical training promotes the personalization of education and reduces the risk of medical errors. At the same time, a low level of awareness is noted among students pursuing higher medical education regarding the possibilities of AI, especially in the context of the practical application of these technologies in clinical activities. The article presents data from cross-sectional surveys which show that although most students recognize the potential of AI, they also highlight ethical risks, the danger of reduced empathy, and the need for standardized approaches to teaching digital technologies. Updates to educational programs in line with current digital trends are proposed, including theoretical modules on Machine Learning, large language models (LLMs), and generative AI (GenAI), as well as practical training under the guidance of competent faculty. Emphasis is placed on the importance of developing international regulatory and legal frameworks to govern AI usage in medical education and clinical practice, ensuring algorithmic transparency and adherence to ethical principles. It is concluded that the proper integration of AI in medical education will not only significantly improve the quality of training for future physicians and enhance the effectiveness of the learning process but will also provide graduates with competitive advantages in the rapidly evolving technological landscape.