药方
计算机科学
基线(sea)
人工智能
中医药
自然语言处理
医学
替代医学
药理学
海洋学
地质学
病理
作者
Rui Hua,Dong Xin,Yu Wei,Zixin Shu,Pengcheng Yang,Yunhui Hu,Shuiping Zhou,He Sun,Kaijing Yan,Xijun Yan,Kai Chang,Xiaodong Li,Yuning Bai,Runshun Zhang,Wenjia Wang,Xuezhong Zhou
标识
DOI:10.1093/jamia/ocae087
摘要
This study marks a pivotal step in merging advanced LLMs with TCM, showcasing the potential of artificial intelligence to help improve clinical decision-making of medical diagnostics and treatment strategies. The success of the Lingdan Pre-trained LLM and its derivative models, Lingdan-TCPM-Chat and Lingdan-PR, not only revolutionizes TCM practices but also opens new avenues for the application of artificial intelligence in other specialized medical fields. Our project is available at https://github.com/TCMAI-BJTU/LingdanLLM.
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