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智能中医诊疗技术应用研究进展

申奥 刘创 刘志梅 李赞华 熊长江 傅丽雯 陆榕 宋爱锋 刘彦珠

山东中医杂志2026,Vol.45Issue(3):241-246,6.
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山东中医杂志2026,Vol.45Issue(3):241-246,6.DOI:10.16295/j.cnki.0257-358x.2026.03.003

智能中医诊疗技术应用研究进展

Research Progress on the Application of Intelligent Traditional Chinese Medicine Diagnosis and Treatment Technology

申奥 1刘创 2刘志梅 3李赞华 4熊长江 1傅丽雯 1陆榕 5宋爱锋 5刘彦珠6

作者信息

  • 1. 山东中医药大学中医药创新研究院,山东 济南 250355
  • 2. 北京中医药大学国际教育学院,北京 100029
  • 3. 山东中医药大学研究生处,山东济南 250355
  • 4. 山东大学第二临床学院,山东济南 250033
  • 5. 山东中医药大学国际教育学院,山东济南 250355||美国针灸健康中心,美国纽约10032
  • 6. 山东中医药大学中医药创新研究院,山东 济南 250355||美国针灸健康中心,美国纽约10032
  • 折叠

摘要

Abstract

The traditional Chinese medicine(TCM)diagnosis and treatment system mainly relies on the four diagnostic method of observation,auscultation and olfaction,inquiry,and palpation,as well as therapeutic approaches such as acupuncture,herbal medicine,and massage.However,the traditional diagnosis and treatment methods are highly dependent on the sub-jective experience of physicians,facing development difficulties in standardization and objectification.Therefore,integrating intelligent technology into TCM diagnosis and treatment has become a key path and a popular research hotspot for promoting the modernization of TCM.This paper focuses on this topic,summarizes the research status of intelligent Chinese medicine diagnosis technologies at home and abroad,and elaborates on their application and development trends in diagnosis and treatment.In the field of diagnosis,the technology is extending from the objective collection of four diagnostic information to the quantitative analysis of characteristic diagnostic methods.In the field of treatment,intelligent robots of acupuncture,moxibustion,and massage have achieved precise quantification of operations and shown good therapeutic effects in the clinical application of some indications.Intelligent technology has a promising future in TCM diagnosis and treatment,but there are still some common challenges in areas such as human-machine flexible interaction and the difficulty in precisely reproducing diagnosis and treatment techniques.This study aims to sort out the development trajectory and technical bottlenecks in this field and provide valuable references for the application and optimization of artificial intelligence technology in the future of TCM medical field.

关键词

人工智能/中医诊疗技术/量化分析/智能机器人

Key words

artificial intelligence/traditional Chinese medicine diagnosis and treatment technology/quantitative analysis/intelligent robots

分类

医药卫生

引用本文复制引用

申奥,刘创,刘志梅,李赞华,熊长江,傅丽雯,陆榕,宋爱锋,刘彦珠..智能中医诊疗技术应用研究进展[J].山东中医杂志,2026,45(3):241-246,6.

基金项目

国家重点研发计划"中医药现代化研究"重点专项(编号:2019YFC1711900) (编号:2019YFC1711900)

山东中医杂志

0257-358X

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