The effectiveness of large language models in medical AI research for physicians: A randomized controlled trial
Yuanjun Shang, Yuanfan Lin, Ruiyang Li, Yuanrui Shang, Mingyuan Li, Lanqin Zhao, Ling Jin, Andi Xu, Dong Liu, Qianni Wu, Mingjie Luo, Jianyu Pang, Shaowei Bi, Yuchun He, Miaohong Xu, Xinwei Chen, Zizheng Cao, Sijia Yu, Jiaman Zhao, Yunxi Lai, Wenben Chen, Haotian Lin · 2025
Read The effectiveness of large language models in medical AI research for physicians: A randomized controlled trial by Yuanjun Shang, Yuanfan Lin, Ruiyang Li, Yuanrui Shang, Mingyuan Li, Lanqin Zhao, Ling Jin, Andi Xu, Dong Liu, Qianni Wu, Mingjie Luo, Jianyu Pang, Shaowei Bi, Yuchun He, Miaohong Xu, Xinwei Chen, Zizheng Cao, Sijia Yu, Jiaman Zhao, Yunxi Lai, Wenben Chen, Haotian Lin (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12765838.txt.
Description
SummaryPhysicians offer invaluable clinical insights, but their involvement in medical AI research is hindered by limited technical expertise. We conduct a superiority, open-label, randomized controlled trial involving 64 junior ophthalmologists to undertake a 2-week project on “automated cataract identification” under minimal engineering assistance, with (intervention, n = 32) or without (control, n = 32) ChatGPT-3.5.
Catalog record
| CREATOR | Yuanjun Shang, Yuanfan Lin, Ruiyang Li, Yuanrui Shang, Mingyuan Li, Lanqin Zhao, Ling Jin, Andi Xu, Dong Liu, Qianni Wu, Mingjie Luo, Jianyu Pang, Shaowei Bi, Yuchun He, Miaohong Xu, Xinwei Chen, Zizheng Cao, Sijia Yu, Jiaman Zhao, Yunxi Lai, Wenben Chen, Haotian Lin |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |