Gao Jun-Hong, Jiang Tian-Yun, Jing Xiang-Hong, Yu Xiao-Chun
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Zhen Ci Yan Jiu. 2025 May 25;50(5):531-537. doi: 10.13702/j.1000-0607.20250319.
The quantitative research on acupuncture manipulation techniques aims to transform traditional empirical operations into measurable parameters through interdisciplinary technologies. This paper comprehensively reviewed the biomechanical foundations and technological evolution of acupuncture manipulation quantification research. It delved into upgrades in biomechanical parameter collection, breakthroughs in analytical methods, and innovations and applications from computer vision, deep learning, and multimodal perception fusion. Looking ahead, the paper explored deepening multimodal fusion, construction of big data expert databases, and intelligent clinical applications. It proposed that through multidisciplinary technological integration, a digital acupuncture theory system with characteristics of traditional Chinese medicine can be established. These breakthroughs will promote the transformation of acupuncture from empirical practice to data-driven precision medicine, providing theoretical and technological foundations for modernization and international standardization of traditional Chinese medicine.