Intelligent acupuncture: data-driven revolution of traditional Chinese medicine

Author:

Bao Yunfan1,Ding Haokang2,Zhang Zhihan3,Yang Kunhuan1,Tran Queena4,Sun Qi5,Xu Tiancheng16

Affiliation:

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

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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