A bibliometric analysis of artificial intelligence in medical education (2015-2025).

BACKGROUND: The rapid development of artificial intelligence (AI) technology is profoundly reshaping the medical education model. However, to date, there has been no bibliometric study specifically focusing on AI and medical education. METHODS: We retrieved 918 records from the Web of Science™ Core Collection. Using CiteSpace and VOSviewer, we conducted a scientometric analysis of these records, including temporal and spatial distribution, author distribution, references, journals, and keywords. RESULTS: The analysis provides foundational information about this research domain, revealing a remarkable growth in scholarly interest over the past decade. Current research hotspots primarily focus on the application of large language models and virtual reality technologies in medical education. CONCLUSION: This study provides essential information for interested researchers. We hope this work will offer new perspectives for advancing the development of AI in medical education.