人工智能助力中医药发展现状、问题及建议  

Current Situation,Problems,and Suggestions of Development of Traditional Chinese Medicine Assisted with Artificial Intelligence

作　　者：林静怡 李诗翩 郭义[1] 任海燕 李鑫举 周鹏[2] 席强 梁峰[1] LIN Jingyi;LI Shipian;GUO Yi;REN Haiyan;LI Xinju;ZHOU Peng;XI Qiang;LIANG Feng(College of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;School of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]天津中医药大学中医学院,天津301617 [2]天津大学精密仪器与光电子工程学院生物医学工程与科学仪器系,天津300072

出　　处：《世界中医药》2022年第6期864-867,共4页World Chinese Medicine

基　　金：中国工程院2019年重大咨询项目(2019-ZD-6-03)。

摘　　要：目的:梳理我国人工智能(AI)在中医药领域的发展现状,分析现存问题,并对未来发展提出建议。方法:综合课题组前期对中国工程院10位院士进行访谈调研的结果进行分析。结果:现状方面,AI为中医药现代化发展提供了有力的技术支持,已有成果证实“AI+中医药”在数据管理、临床诊断、健康管理等方面起着互相推动的作用。存在问题是数据标准欠缺、交叉人才匮乏及政策支持力度欠缺等;建议对中医药数据进行全面治理,同时结合我国具体情况加速培养学科交叉复合型人才,并从数据、知识产权、伦理安全及资金等方面给予支持。结论:未来AI如何更好地助力中医药以及整个医药健康领域,还亟待进一步探索。Objective:To clarify the current situation of artificial intelligence(AI)in traditional Chinese medicine(TCM),analyze the current problems,and put forward some suggestions for future development.Methods:Previously,the research group interviewed 10 academicians from the Chinese Academy of Engineering and the results were comprehensively analyzed.Results:Currently,AI technically supports the modernization of TCM.Existing results have confirmed that the combination of AI and TCM promotes advancements in data management,clinical diagnosis,health management,etc.The existing problems revealed the lack of data standards and interdisciplinary talents and insufficient policy support.The present study recommended comprehensively managing TCM data,accelerating the cultivation of interdisciplinary talents according to the specific conditions of China,and providing data,intellectual property,ethical security,and financial support.Conclusion:How AI helps TCM and the entire medical and health field in the future needs further exploration.

关 键 词：人工智能 中医药 院士访谈 现状 问题 建议 

分 类 号：R2-03[医药卫生—中医学]