Abstract: Objective To comb and show the current situation,development trend and theme evolution process of artificial intelligence(AI)in medical education by knowledge map construction,to provide reference for the research on the direction of AI applied to medical education. Methods We searched and read 524 core documents of Web of Science from 2010 to 2024,and applied VOSviewer software,Citespace software and R language biblimetrix package respectively to analyse the evolution process of high-influence authors and research teams of AI in the field of medical education,and the current focus content and research content.evolutionary process. Results The AI-driven development of medical education has shown a marked upward trend since 2018;the field has established several stable core research teams,with strong internal collaboration within each team,though cooperation among large teams remains relatively loose;the Mayo Clinic is currently the research institution with the highest global publication output in this field,and collaboration is particularly close among institutions with high publication volumes;China currently ranks second in the world in terms of publication output on related topics;Furthermore,results from keyword clustering and the analysis of research topic evolution indicate that,over the past two years,research hotspots in the application of artificial intelligence to medical education have primarily shifted toward large language models,machine learning,and virtual surgery. Conclusion The application of AI in medical education is undergoing a transformation from auxiliary tools to intelligent empowerment systems,holding promise for advancing medical education toward greater intelligence,precision,and personalization.

Key words: artificial intelligence, medical education, VOSviewer, biblimetrix, visualisation analysis