首页|期刊导航|分析测试学报|数智融合:人工智能在中医辨证论治体系中的应用现状与展望

数智融合:人工智能在中医辨证论治体系中的应用现状与展望OA

Digital-Intellectual Integration:Current Application Status and Prospects of Artificial Intelligence in the Traditional Chinese Medicine Syndrome Differentiation and Treatment System

中文摘要英文摘要

人工智能深度融入中医辨证论治体系,正驱动其从依赖经验的传承模式向数据与知识双轮驱动的现代化范式演进.该文系统梳理了这一转型的核心路径:通过多模态技术实现四诊信息的客观化融合,利用时序建模与知识增强捕捉证候的动态演变与理论逻辑,并基于"方证相应"的智能计算实现处方的推荐、生成与优化,进一步结合网络药理学解析配伍机制与发现新药.尽管当前研究在数据质量、模型可解释性及临床验证层面仍存局限,但人工智能已为构建可计算、可验证且人机协同的中医智能诊疗系统奠定了坚实基础,有力推动了中医药的守正创新与科学发展.

The deep integration of artificial intelligence into the traditional Chinese medicine(TCM)system of syndrome differentiation and treatment is driving its evolution from an experience-dependent inheritance model towards a modern paradigm powered by both data and knowledge.This review sys-tematically outlines the core pathways of this transformation:achieving objective fusion of informa-tion from the four diagnostic methods through multimodal technology;capturing the dynamic evolu-tion of syndromes and their theoretical logic using temporal modeling and knowledge enhancement;and realizing the recommendation,generation,and optimization of prescriptions based on the intelli-gent computation of"formula-syndrome correspondence"further combined with network pharmacol-ogy to analyze compatibility mechanisms and discover new drugs.Although current research still fac-es limitations in data quality,model interpretability,and clinical validation,artificial intelligence has laid a solid foundation for constructing a computable,verifiable,and human-AI collaborative in-telligent TCM diagnosis and treatment system,vigorously promoting the innovation and scientific de-velopment of TCM while preserving its core principles.

孟庆琦;王丰;何大阔;侯悦

东北大学 生命科学与健康学院,辽宁省生物资源开发利用重点实验室,工业智能与系统优化国家级前沿科学中心,辽宁 沈阳 110167东北大学 生命科学与健康学院,辽宁省生物资源开发利用重点实验室,工业智能与系统优化国家级前沿科学中心,辽宁 沈阳 110167东北大学 信息科学与工程学院,流程工业综合自动化全国重点实验室,辽宁 沈阳 110819东北大学 生命科学与健康学院,辽宁省生物资源开发利用重点实验室,工业智能与系统优化国家级前沿科学中心,辽宁 沈阳 110167

化学化工

人工智能中医药辨证论治四诊处方推荐

artificial intelligencetraditional Chinese medicinesyndrome differentiation and treatmentfour diagnostic methodsprescription pecommendation

《分析测试学报》 2026 (6)

1151-1160,10

10.12452/j.fxcsxb.26012203

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