Abstract:Coronary heart disease（CHD）is among the most prevalent cardiovascular diseases worldwide，and its chronic course necessitates long-term management and rehabilitation. As a cornerstone of secondary prevention，cardiac rehabilitation has been shown to significantly reduce cardiovascular mortality and hospital readmission rate. In recent years，the rapid growth of artificial intelligence（AI）in medicine has opened new opportunities for individualized，precision-medicine strategies. Machine learning（ML），a major subfield of AI，has demonstrated particular strengths in large-scale data processing，risk prediction，personalized treatment planning，and remote monitoring. This review synthesizes recent advances in applying AI，particularly ML，to cardiac rehabilitation for patients with CHD，outlines the current status of implementation in disease management，and discusses future directions，with the aim of informing further research and clinical practice.