Cross sectional pilot study on clinical review generation using large language models
Abstract As the volume of medical literature accelerates, necessitating efficient tools to synthesize evidence for clinical practice and research, the interest in leveraging large language models (LLMs) for generating clinical reviews has surged. However, there are significant concerns regarding the...
Saved in:
| Main Authors: | Zining Luo, Yang Qiao, Xinyu Xu, Xiangyu Li, Mengyan Xiao, Aijia Kang, Dunrui Wang, Yueshan Pang, Xing Xie, Sijun Xie, Dachen Luo, Xuefeng Ding, Zhenglong Liu, Ying Liu, Aimin Hu, Yixing Ren, Jiebin Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01535-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Global burden and projection of colorectal cancer attributable to low whole-grain diets: an analysis of GBD 2021 data with Bayesian age-period-cohort modeling
by: Hongmei Tian, et al.
Published: (2025-07-01) -
China’s colorectal cancer burden and dietary risk factors: a temporal analysis (1990–2021)
by: Qin Sun, et al.
Published: (2025-07-01) -
Multi-Scale Numerical Simulation of Short Tungsten Fiber Reinforced Tungsten–Copper Composites: Influence Mechanisms of Fiber Parameters
by: Longchao Zhuo, et al.
Published: (2025-02-01) -
Research hotspots and trends in pediatric telemedicine: a CiteSpace-based bibliometric analysis (1978–2025)
by: Hong Xie, et al.
Published: (2025-07-01) -
Application of deep learning models in gastric cancer pathology image analysis: a systematic scoping review
by: Sijun Xia, et al.
Published: (2025-08-01)