A bibliometric analysis of the advance of artificial intelligence in medicine
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.
Authors
- Lingzhi Lin
- M. S. Lin (ORCID: https://orcid.org/0000-0002-7796-5375)
- Xiaoxiao Yan (ORCID: https://orcid.org/0009-0008-9228-8844)
- Zhengqiu Lin
- Lingling Lin (ORCID: https://orcid.org/0000-0003-4598-5280)
Institutions
- Wenzhou Medical University (CN)
- Ruian People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-02-21
- DOI
- https://doi.org/10.3389/fmed.2025.1504428
- Citations
- 17
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 10.47