Intelligent acupuncture: data-driven revolution of traditional Chinese medicine

Yunfan Bao, Haokang Ding, Zhihan Zhang, Kunhuan Yang, Queena Tran, Qi Sun, Tiancheng Xu

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Acupuncture and Herbal Medicine ›› 2023, Vol. 3 ›› Issue (4) : 271-284. DOI: 10.1097/HM9.0000000000000077
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Intelligent acupuncture: data-driven revolution of traditional Chinese medicine

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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.

Keywords

Acupuncture / Artificial intelligence / Knowledge graph

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Yunfan Bao, Haokang Ding, Zhihan Zhang, Kunhuan Yang, Queena Tran, Qi Sun, Tiancheng Xu. Intelligent acupuncture: data-driven revolution of traditional Chinese medicine. Acupuncture and Herbal Medicine, 2023, 3(4): 271‒284 https://doi.org/10.1097/HM9.0000000000000077

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