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ORIGINAL RESEARCH article
Front. Med.
Sec. Precision Medicine
Volume 12 - 2025 |
doi: 10.3389/fmed.2025.1504428
This article is part of the Research Topic Pioneers & Pathfinders: 10 Years of Frontiers in Medicine View all 12 articles
A bibliometric analysis of the advance of artificial intelligence in medicine
Provisionally accepted- Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
The integration of artificial intelligence (AI) into medicine has ushered an era of unprecedented innovation, with substantial impacts on healthcare delivery and patient outcomes. Understanding the current development, primary research focuses, and key contributors in AI applications in medicine through bibliometric analysis is essential. Methods For this research, we utilized the Web of Science Core Collection as our main database and performed a review of literature covering the period from January 2019 to December 2023. VOSviewer and R-bibliometrix were performed to conduct bibliometric analysis and network visualization, including the number of publications, countries, journals, citations, authors and keywords.Results A total of 1811 publications on research for artificial intelligence in medicine were released across 565 journals by 12376 authors affiliated with 3583 institutions from 97 countries. The United States became the foremost producer of scholarly works, significantly impacting the field. Harvard Medical School exhibited the highest publication count among all institutions. The JOURNAL OF MEDICAL INTERNET RESEARCH achieved the highest H-index (19), publication count (76), and total citations (1495). Four keyword clusters were identified, covering AI applications in digital health, COVID-19 and ChatGPT, precision medicine, and public health epidemiology. "Outcomes" and "Risk" demonstrated a notable upward trend, indicating the utilization of AI in engaging with clinicians and patients to discuss patients' health condition risks, foreshadowing future research focal points. Conclusion Analyzing our bibliometric data allowed us to identify progress, focus areas, and emerging fields in AI for medicine, pointing to potential future research directions. Since 2019, there has been a steady rise in publications related to AI in medicine, indicating its rapid growth. In addition, we reviewed journals and significant publications to pinpoint prominent countries, institutions, and academics. Researchers will gain important insights into the current landscape, collaborative frameworks, and key research topics in the field from this study. The findings suggest directions for future research.
Keywords: artificial intelligence, Medicine, Bibliometrics, VOSviewer, applications
Received: 30 Sep 2024; Accepted: 10 Feb 2025.
Copyright: © 2025 Lin, Lin, Lin, Lin and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Mian Lin, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
Lingling Lin, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
Zhengqiu Lin, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
Xiaoxiao Yan, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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