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SCI 3 February 2025 A generalist medical language model for disease diagnosis assistance (Nature Medicine, IF: 56.7) Xiaohong Liu, Hao Liu, Guoxing Yang, Zeyu Jiang, Shuguang Cui, Zhaoze Zhang, Huan Wang, Liyuan Tao, Yongchang Sun, Zhu Song, Tianpei Hong, Jin Yang, Tianrun Gao, Jiangjiang Zhang, Xiaohu Li, Jing Zhang, Ye Sang, Zhao Yang, Kanmin Xue, Song Wu, Ping Zhang, Jian Yang, Chunli Song & Guangyu Wang CORRESPONDENCE TO: yangjian@ctgu.edu.cn; schl@bjmu.edu.cn; guangyu.wang24@gmail.com The delivery of accurate diagnoses is crucial in healthcare and represents the gateway to appropriate and timely treatment. Although recent large language models (LLMs) have demonstrated impressive capabilities in few-shot or zero-shot learning, their effectiveness in clinical diagnosis remains unproven. Here we present MedFound, a generalist medical language model with 176 billion parameters, pre-trained on a large-scale corpus derived from diverse medical text and real-world clinical records. We
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