Using artificial intelligence to personalize learning paths in medical education in Ukraine

Abstract

The rapid digital transformation of higher education has intensified interest in the use of artificial intelligence as a key driver for modernising teaching and learning processes, particularly in fields such as medicine. The purpose of this article is to examine the theoretical and practical foundations of integrating artificial intelligence into medical education in Ukraine, to personalise educational trajectories and enhance the quality of professional training. Methods: analysis of scientific literature; comparison to contrast traditional and innovative learning trajectories; generalisation and systematisation – to provide a structured presentation of the research results. Results. The study demonstrates that the implementation of artificial intelligence technologies fundamentally alters the principles of medical education, enabling the creation of an individualised learning environment. Intelligent recommendation systems generate personalised educational plans and select resources based on continuous analysis of learners’ performance data. Automated monitoring and predictive analytics tools identify knowledge gaps, forecast academic outcomes, and support timely pedagogical interventions. The integration of artificial intelligence into clinical disciplines and simulation-based learning promotes the development of diagnostic thinking, decision-making, and methodological competencies of future healthcare professionals through adaptive, scenario-based feedback. In telemedical education, artificial intelligence expands access to remote clinical experience and interactive consultations, contributing to a more inclusive and practice-oriented learning model. Conclusions. Thus, the personalisation of educational trajectories based on artificial intelligence in Ukrainian medical education enhances the quality of professional training, strengthens learners’ motivation, and improves institutional efficiency. Artificial intelligence enables the transition from standardised educational programs to dynamic systems that respond to individual cognitive and professional needs, thereby fostering the formation of a new generation of medical professionals capable of working in a technologically advanced healthcare environment.