Large language models-powered clinical decision support: enhancing or replacing human expertise?
Capital Medical University · Beijing Friendship Hospital
Abstract
This editorial presents an optimistic yet cautious perspective on the development, deployment, and regulation of large language models (LLMs) in the field of medicine. It is essential to strike a balance between embracing the benefits of artificial intelligence-driven solutions and preserving the human touch that is vital for providing compassionate care. The exponential growth of medical data has paved the way for the integration of LLMs into healthcare, offering unprecedented opportunities to enhance clinical decision-making and alleviate physicians' workloads. Recently, LLMs have exhibited remarkable potential across various clinical scenarios, including streamlining diagnostic processes, optimizing…
Citation impact
- FWCI
- 20.27
- Percentile
- 100%
- References
- 29
Authors
4- JLJia Li
Capital Medical University, Beijing Friendship Hospital
- ZZZichun Zhou
Capital Medical University, Beijing Friendship Hospital
- HLHan LyuCorresponding
Capital Medical University, Beijing Friendship Hospital
- ZWZhenchang WangCorresponding
Capital Medical University, Beijing Friendship Hospital
Topics & keywords
- Decision support system
- Computer science
- Clinical decision support system
- Risk analysis (engineering)
- Process management
- Psychology
- Knowledge management
- Business
- Peace, Justice and strong institutions