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作 者:Yunfan Bao Haokang Ding Zhihan Zhang Kunhuan Yang Queena Tran Qi Sun Tiancheng Xu
机构地区:[1]Key Laboratory of Acupuncture and Medicine Research of Ministry of Education,Nanjing University of Chinese Medicine,Nanjing,China [2]Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica,Nanjing University of Chinese Medicine,Nanjing,China [3]School of Life Science and Chemistry and Chemical Engineering,Jiangsu Second Normal University,Nanjing,China [4]College of Letters&Science,University of California,Berkeley,USA [5]School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing,China [6]Zhimei Kangmin(Zhuhai)Health Technology Co.,LTD,Zhuhai,China
出 处:《Acupuncture and Herbal Medicine》2023年第4期271-284,共14页针灸和草药(英文)
基 金:supported by the National Natural Science Foundation of China (No.82305376);2021 Special Research Project of TCM Science and Technology Development Plan of Jiangsu Province (ZT202120);Luo Linxiu Teacher Development Funding Project (LLX202308);National Key Research and Development Plan Intelligent Robot (2022YFB4703100).
摘 要:Acupuncture,a form of traditional Chinese medicine with a history of 2,000 years in China,has gained wider acceptance worldwide as a complementary therapy.Studies have examined its effectiveness in various health conditions and it is commonly used alongside conventional medical treatments.With the development of artificial intelligence(AI)technology,new possibilities for improving the efficacy and precision of acupuncture have emerged.This study explored the combination of traditional acupuncture and AI technology from three perspectives:acupuncture diagnosis,prescription,and treatment evaluation.The study aimed to provide cutting-edge direction and theoretical assistance for the development of an acupuncture robot.
关 键 词:ACUPUNCTURE Artificial intelligence Knowledge graph Graphical abstract:http://links.lww.com/AHM/A68
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