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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Abstract

Acupuncture, a form of traditional Chinese medicine with a history of 2000 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.
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智能针灸:数据驱动的中医革命
针灸是一种在中国有2000年历史的传统中医,作为一种辅助疗法在世界范围内得到了广泛的接受。研究已经检验了它在各种健康状况下的有效性,它通常与传统医学治疗一起使用。随着人工智能(AI)技术的发展,为提高针灸的疗效和精度提供了新的可能性。本研究从针灸诊断、方剂、治疗评价三个方面探索传统针灸与人工智能技术的结合。本研究旨在为针灸机器人的开发提供前沿方向和理论帮助。
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