The application of large language models in medicine: A scoping review
Peking University · Peking University Third Hospital · +8 more institutions
Abstract
This study systematically reviewed the application of large language models (LLMs) in medicine, analyzing 550 selected studies from a vast literature search. LLMs like ChatGPT transformed healthcare by enhancing diagnostics, medical writing, education, and project management. They assisted in drafting medical documents, creating training simulations, and streamlining research processes. Despite their growing utility in assisted diagnosis and improving doctor-patient communication, challenges persisted, including limitations in contextual understanding and the risk of over-reliance. The surge in LLM-related research indicated a focus on medical writing, diagnostics, and patient communication, but highlighted…
Citation impact
- FWCI
- 35.12
- Percentile
- 100%
- References
- 135
Authors
25- XMXiangbin MengCorresponding
Peking University, Peking University Third Hospital
- XYXiangyu Yan
Tianjin University
- KZKuo Zhang
Chinese Academy of Medical Sciences & Peking Union Medical College
- DLDa Liu
Hebei Medical University, First Affiliated Hospital of Hebei Medical University
- XCXiaojuan Cui
Peking University
Topics & keywords
- Health care
- Engineering ethics
- Management science
- Medical education
- Computer science
- Psychology
- Medicine
- Engineering
- Quality Education
Funding
- NNNational Natural Science Foundation of ChinaAwards: 82270376, 91957123, 81825003
- CAChinese Academy of Meteorological SciencesAwards: T-B-119, 2021-I2M-5-003
- CSChina Scholarship CouncilAward: CSCF2021A04
- BMBeijing Municipal Science and Technology Commission
- BNBeijing Nova ProgramAward: Z201100006820002
- NKNational Key Research and Development Program of China
- NKNational Key Research and Development Program of China Stem Cell and Translational ResearchAward: 2020YFC2004705
- CAChinese Academy of Medical Sciences Initiative for Innovative Medicine