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Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models.

Rui HuaXin DongYu WeiZixin ShuPengcheng YangYunhui HuShuiping ZhouHe SunKaijing YanXijun YanKai ChangXiaodong LiYuning BaiRunshun ZhangWenjia WangXuezhong Zhou
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
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.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • deep learning
  • decision making
  • primary care
  • autism spectrum disorder
  • working memory
  • resistance training
  • human health