Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms
Abstract Faced with challenging cases, doctors are increasingly seeking diagnostic advice from large language models (LLMs). This study aims to compare the ability of LLMs and human physicians to diagnose challenging cases. An offline dataset of 67 challenging cases with primary gastrointestinal sym...
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Main Authors: | Xintian Yang, Tongxin Li, Han Wang, Rongchun Zhang, Zhi Ni, Na Liu, Huihong Zhai, Jianghai Zhao, Fandong Meng, Zhongyin Zhou, Shanhong Tang, Limei Wang, Xiangping Wang, Hui Luo, Gui Ren, Linhui Zhang, Xiaoyu Kang, Jun Wang, Ning Bo, Xiaoning Yang, Weijie Xue, Xiaoyin Zhang, Ning Chen, Rui Guo, Baiwen Li, Yajun Li, Yaling Liu, Tiantian Zhang, Shuhui Liang, Yong Lv, Yongzhan Nie, Daiming Fan, Lina Zhao, Yanglin Pan |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-025-01486-5 |
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