The application of artificial intelligence（AI）in the medical field is rapidly developing，with the continuous advancement of its technology bringing revolutionary changes to the medical field.Generative Artificial Intelligence（GAI）is an important branch of AI technology，which uses complex algorithms，models，and rules to learn from large-scale datasets to create new original content.GAI technology shows great potential in health management，disease diagnosis and treatment，and drug development.In the field of health management，GAI optimizes the allocation of medical resources and improves the quality and efficiency of medical services；in the field of disease diagnosis and treatment，GAI models enhance diagnostic accuracy in medical imaging analysis by integrating expert knowledge and multimodal capabilities，medical robots and automated surgeries improve the safety and efficiency of surgeries；in the field of drug development and clinical research，by utilizing big data，machine learning，deep learning，and other technologies，it accelerates the discovery and development of new drugs and optimizes attributes related to pharmacodynamics，pharmacokinetics，and clinical outcomes，thereby accelerating the development of effective treatment methods.Although GAI has a broad application prospect in the medical field，it also faces challenges such as ethics，data quality，algorithmic bias，and laws and regulations.Future research should focus on developing more accurate，efficient，and ethically acceptable GAI medical solutions，establishing data standardization and sharing platforms，strengthening data security and privacy protection，formulating ethical governance frameworks，and promoting the healthy development of GAI technology in the medical field through policy support and guidance.