The growing demand for healthcare has brought Traditional Chinese Medicine (TCM) massage therapy into the spotlight in academic circles. Numerous studies have underscored the effectiveness of TCM massage in health promotion, disease amelioration, and quality of life enhancement. However, the field faces challenges such as inconsistent training and inadequate transfer of experiential knowledge. Recently, machine learning has shown potential in the medical field and its application in TCM massage therapy offers new developmental opportunities. This paper reviews key research areas exploring the synergy between machine learning and Chinese massage therapy, including acupoint localization and identification, massage practice, and personalized treatment plans. It summarizes progress and identifies the challenges in integrating these technologies. Despite potential risks, merging these technologies is poised to be a trend in future healthcare, driven by advances in computer technology and the needs of TCM practitioners.