广州医药2025，Vol.56Issue(5)：599-604,6.DOI:10.20223/j.cnki.1000-8535.2025.05.004
超声引导结合机器学习技术的智能针灸精准诊疗系统研究
Study on acupuncture and moxibustion system using ultrasound and machine learning for precision diagnosis and treatment
摘要
Abstract
As an invaluable component of traditional Chinese medicine,acupuncture boasts a distinctive value in the treatment of diseases.However,the standardization of its practice,the quantitative assessment of its therapeutic efficacy,and the implementation of safety risk control measures remain pivotal challenges hindering its modernization and transformation.The advent of artificial intelligence technology has precipitated a technological revolution in the medical field,thereby generating novel opportunities for innovation in acupuncture.The integration of ultrasound medicine and machine learning algorithms,leveraging their respective strengths in visualization,quantification and dynamic monitoring,has emerged as a technological synergy.This synergy is poised to propel traditional acupuncture towards precision and intelligence.The integration of ultrasound imaging with machine learning algorithms enables real-time localization of acupoints and needle trajectory,enhancing the precision and safety of acupuncture treatment.Additionally,it facilitates the development of objective efficacy evaluation systems.The present article aims to comprehensively review the application of ultrasound-guided machine learning technology in the field of acupuncture and moxibustion research.It does so by first analyzing the challenges and limitations of existing research and then prospectively exploring future research directions and trends.The article's ultimate aim is to provide theoretical guidance and practical inspiration for the deepening and development of acupuncture and moxibustion practice.关键词
超声引导/机器学习/针刺/标准化/可视化/安全性Key words
ultrasound guidance/machine learning/acupuncture/standardization/visualization/safety引用本文复制引用
张千,王菲,孟纯雪,张生富,赵海龙,唐旭红,陈紫晔,郭斌..超声引导结合机器学习技术的智能针灸精准诊疗系统研究[J].广州医药,2025,56(5):599-604,6.基金项目
国家自然科学基金(82260967) （82260967）
国家自然科学基金(82460972) （82460972）
自治区重点研发计划项目(2022BEG02040) （2022BEG02040）
宁夏医科大学大学生创新创业训练项目(X202410752040) （X202410752040）
中华中医药学会青年托举人才项目(2023-QNRC2-B26) （2023-QNRC2-B26）
小荷计划(ZY0019110305) （ZY0019110305）
