Objective To construct a full view of current research on ChatGPT in clinical medical education and try to infer ChatGPT's future direction in the field of clinical medical education. Methods The research literature on ChatGPT in the field of clinical medical education as of June 10, 2024, was retrieved in the Web of Science core collection database, and the Bibliometrix, a program package, was used for a bibliometric analysis and the visualization of the results. Results A total of 116 articles published between 2023 and 2024, containing 390 keywords, involving 616 authors, and citing 2,381 references were included. In the field of ChatGPT-integrated clinical medical education, scholars from the United States, Germany, and China were the most active in their exploration; the top five keywords in terms of frequency of occurrence were ophthalmology, surgery, otolaryngology, Google Bard model, and patient education; keyword co-occurrence analysis showed that the top four keywords with the highest centrality were otolaryngology, surgery, diagnosis, and performance; the keyword heat map analysis showed that there were relatively strong correlations among keywords such as artificial intelligence, surgery, and patient education; strategic coordinate analysis and thematic evolution trend analysis indicated that the applications of ChatGPT in patient education, surgical specialties like plastic surgery and orthopedics, as well as ethical issues, were likely to become hot research areas in the future. Conclusion ChatGPT has conducted preliminary explorations and validations in the field of clinical medical education, with an outstanding performance. More effective explorations and integration need to be carried out in the digital applications in clinical teaching and practice and patient education and management.

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