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人工智能赋能名医经验传承存在的问题与思考OA

The Current Issues and Thoughts on the Empowerment of Famous Doctors' Experience Inheritance by Artificial Intelligence

中文摘要英文摘要

在中医药现代化发展的时代背景下,名医经验传承因其复杂的非线性特征和动态演变规律而面临严峻挑战.当前传承体系中仍存在人才培养模式趋同、师承规范欠缺、评估方式单一等问题,制约了名医经验的系统化传承与创新发展.基于对人工智能辅助名医经验传承现状的系统梳理,从数据真实性保障、跨学科协同机制、活态化传承标准制定等关键维度,探索现代信息技术与名医经验深度融合的创新路径,提出人工智能时代中医名医经验传承范式转型的思考,旨在推动构建"数智赋能、交叉创新"的中医药传承新体系,为中医名医经验传承提供理论支撑与实践路径.

In the context of the modernization of traditional Chinese medicine(TCM),the inheritance of the experiences of famous doctors faces significant challenges due to its complex nonlinear characteristics and dynamic evolution.There are still issues in the current inheritance system,such as the homogenization of talent cultivation models,lack of standardized mentoring practices,and monotonous evaluation method,which hinder the systematic inheritance and innovative development of famous doctors' experiences.Based on a systematic review of the current state of artificial intelligence(AI)-assisted inheritance of famous doctors' experiences,this study explores innovative pathways for deep integration of modern information technologies with famous doctors' experiences from key dimen-sions,including data authenticity assurance,interdisciplinary collaboration mechanisms,and the establishment of dynamic inheritance standards.It proposes a paradigm shift in the inheritance of TCM famous doctors'experiences in the AI era,aiming to build a new TCM inheritance system of"digital intelligence empowerment and cross-disciplinary innovation",providing theoretical support and practical pathways for the inheritance of famous doctors'experiences in TCM.

姜晓晨;刘福栋;张传龙;李奕;申倩;庞博

首都医科大学附属北京朝阳医院,北京市朝阳区工体南路8号,100020中国中医科学院广安门医院首都医科大学附属北京友谊医院中国中医科学院广安门医院中国中医科学院广安门医院中国中医科学院西苑医院

名医经验传承人工智能深度学习

inheritance of famous doctors' experienceartificial intelligencedeep learning

《中医杂志》 2026 (7)

710-715,6

中国中医科学院"人工智能+"研究生课程建设项目(AI20250007)首都医科大学附属北京朝阳医院金种子科研基金(CYJZ202560)中国中医科学院"中国中医药联合研究生院"科教专项(CI2025C010LH)

10.13288/j.11-2166/r.2026.07.002

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