Machine learning is a newly emerged discipline. It develops rapidly and has been penetrated into all walks of life and made great achievements in medical field. The introduction of machine learning in the field of acupuncture and moxibustion should fully play the advantages of targeted therapy of acupuncture and moxibustion, optimize the resource allocation of traditional Chinese medicine and accurately serve the clinic rather than only limited to data mining and analysis. In the paper, through the analysis of the relevant literature in recent years, the combination of acupuncture-moxibustion with machine learning was discussed from the aspects of acupoint selection and prescription, clinical teaching application of acupuncture and moxibustion, the prediction on acupuncture curative effect, etc. Moreover, on the base of multidisciplinary intersection and by means of machine learning, the exploration was given on the future direction of acupuncture and moxibustion.
机器学习是一门新兴学科，其快速发展已深入到各行各业，在医疗领域亦有较大的发展。将机器学习引入针灸领域，不能仅限于大数据的挖掘与分析，应该更广泛地发挥针灸的靶向治疗优势，优化中医资源配置，精准服务于临床。本文通过对近年相关文献的分析，从针灸选穴处方、针灸的临床教学应用及针灸疗效预测等方面探讨其与机器学习的结合，以学科交叉为起点，机器学习为手段，探讨针灸未来的发展方向。.
Keywords: Acupuncology; Interdisciplinary; Machine learning; Review.