The top 100 most-cited articles on large language models in medicine: A bibliometric analysis
This analysis provides a core overview of high-impact LLMs research in medicine, guiding future applications. The findings highlighted the remarkable progress in clinical decision support, drug discovery, multimodal medical imaging analysis, and personalized medical information-answering. They also stress the need for prospective trials to assess real-world clinical impacts, boost the reliability of LLMs-generated medical info, develop consensus-driven solutions to address ethical challenges, and launch global initiatives to democratize LLMs tools.
Authors
- Cheng Lu Wang (ORCID: https://orcid.org/0000-0002-1164-9193)
- Xinran Gong (ORCID: https://orcid.org/0009-0008-5144-3860)
- Runbing Xu
- Jianping Liu (ORCID: https://orcid.org/0000-0002-0320-061X)
- Zhiqiang Li (ORCID: https://orcid.org/0000-0003-1492-4995)
Institutions
- Beijing University of Chinese Medicine (CN)
- Xian Center for Disease Control and Prevention (CN)
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN)
- UiT The Arctic University of Norway (NO)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251365059
- Citations
- 1
- Primary Topic
- Health and Medical Research Impacts
- Type
- article
- Field-Weighted Citation Impact
- 1.88