"Objective: This study aims to analyze the current landscape of Medical Research Articles Related to ChatGPT (MRACs), assessing their international collaboration patterns and research hotspots to understand the impact and trends surrounding MRACs.
Methods: A bibliometric analysis was conducted using Citespace and the Web of Science Core Collection. A targeted search strategy was employed to identify MRACs, excluding irrelevant papers. Advanced bibliometric tools, including co-citation and cluster analysis, were utilized to quantify contributions and identify research themes.
Results: Out of 574 MRACs identified, the majority (97.74%) were published in 2023. These articles span various disciplines, particularly in Health Care Sciences Services, with extensive international collaboration involving 73 countries. The USA, India, and China lead in publications, with Nigeria exhibiting high centrality. Keyword clustering analysis revealed nine thematic clusters, with ""digital health"" being the largest and most cited.
Conclusion: This study provides a comprehensive view of MRACs, highlighting their multidisciplinary nature and international collaboration patterns. Research hotspots, particularly in digital health and clinical decision support, reflect ChatGPT's ongoing developmental potential in medicine. Future research should explore socioeconomic and cultural influences on these trends and delve deeper into ChatGPT's technical contributions in medicine. Overall, this analysis enhances our understanding of current trends and future directions in leveraging ChatGPT for medical research and practice."