上海中医药杂志2026，Vol.60Issue(5)：1-9,9.DOI:10.16305/j.1007-1334.2026.z20250813005
不同生成式大语言模型在中医神志病诊疗领域的应用能力比较研究
Comparative study on application capabilities of different generative large language models in diagnosis and treatment of mental disorders in traditional Chinese medicine
摘要
Abstract
With the rapid advancement of artificial intelligence,generative large language models(LLMs)have attracted growing attention for their potential applications in the medical field.This study evaluates six representative generative LLMs—including four general-purpose models and two specialized models for traditional Chinese medicine(TCM)—on a constructed dataset of TCM medical records related to mental disorders.A comprehensive comparison was conducted from two aspects:the models'diagnostic and therapeutic capabilities,and the quality of their generated outputs,aiming to assess their applicability in the diagnosis and treatment of mental disorders within TCM.The results show that while all models demonstrate certain competence in this domain,their performance varies significantly.Under the specific test conditions and specific dataset of this study,DeepSeek,Ernie Bot,and ChatGLM exhibited relatively outstanding overall applicability.Specialized TCM models,however,still show room for improvement in areas such as depth of data processing,integration of domain knowledge,and clinical logical reasoning.Looking forward,with the continuous expansion of high-quality TCM datasets,ongoing optimization of model architectures,and the gradual improvement of clinical validation systems,the application prospects of generative LLMs in the field of TCM are expected to broaden considerably.关键词
生成式人工智能/大语言模型/中医/神志病/诊断/治疗Key words
generative artificial intelligence/large language model/traditional Chinese medicine/mental disorders/diagnosis/treatment引用本文复制引用
荆晓朔,魏彦柏,廖亚婷,张少辉,杨萍,赵国英,晏峻峰..不同生成式大语言模型在中医神志病诊疗领域的应用能力比较研究[J].上海中医药杂志,2026,60(5):1-9,9.基金项目
湖南省中医药管理局"十四五"中医药科技创新平台支持项目(湘中医药函[2022]93号) （湘中医药函[2022]93号）
