作为中医药文化瑰宝，针灸在疾病治疗中展现出独特价值，但其标准化操作、疗效量化评价及安全风险控制仍是制约现代化转型的关键问题。随着人工智能技术的突破性发展，机器学习在医疗领域引发的技术革命为针灸创新提供了新机遇。超声医学凭借可视化、定量化及动态监测优势，与机器学习算法形成技术协同，推动传统针灸向精准化、智能化方向迈进。通过超声成像实时定位穴位层次结构与针体轨迹，结合机器学习对多维数据的深度分析，显著提升了针刺治疗的精准性与安全性，同时为建立客观疗效评价体系提供了技术支撑。文章旨在全面回顾超声引导下机器学习技术在针灸研究领域的应用状况，深入剖析现有研究中存在的挑战与局限，并前瞻性地探讨未来的研究方向与趋势，旨在为针灸实践与应用研究的深化与发展提供理论指导与实践启示。

      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．