Bibliometric analysis of ChatGPT research in medical education (Preprint)

Abstract

<sec> <title>UNSTRUCTURED</title> Purpose: As ChatGPT has become more powerful, its application has begun to permeate the field of medical education. This article employs bibliometric analysis to examine the evolution of research concerning the use of ChatGPT in medical education and to identify areas for further development in this domain. Methods: As of July 14, 2024, all articles regarding the use of ChatGPT in medical education within the Web of Science Core Collection were screened by two reviewers. VOSViewer was utilized to illustrate the relationships among countries, authors, and keywords, whereas Citespace was employed to detect references exhibiting significant bursts of activity. Results: The study analyzed a total of 243 publications on the use of ChatGPT in medical education. There were 1,226 different authors from 60 countries. The top contributors to this field were the United States, China, and India. The journal with the highest number of publications was JMIR Medical Education, while the Cures Journal of Medical Science had the highest H-index. Conclusions: This study conducted a bibliometric analysis of ChatGPT research in medical education from 2023 to 2024, identifying the countries, authors, journals, and publications involved in this field. The findings provide a comprehensive overview of the research conducted on the use of ChatGPT in medical education. </sec>

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