Artificial intelligence (AI) has emerged as a cutting-edge technology leading the future and is a key engine for China's development. In the innovation and research of medical devices, AI has provided critical support in the areas of intelligent diagnostic assistance, intelligent therapeutic assistance, intelligent monitoring, life support, et al. Machine learning-enabled device software functions (ML-DSFs) have become an essential component of many medical devices. Recently, the United States Food and Drug Administration (FDA) released a draft guidance titled " Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning (AI/ML)-Enabled Device Software Functions (Draft). " that aimed to provide a forward-looking approach to foster the development of ML medical devices. By supporting iterative updates through modifications, this approach ensures the continuous safety and effectiveness of the devices. This guidance represents the latest in regulatory direction and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI products. Therefore, we plan to provide a detailed introduction and interpretation of the guidance, with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.