The article provides a comprehensive survey of the development and application of artificial intelligence (AI) in the medical field. It highlights the increasing demand for healthcare services and the potential of AI to enhance medical efficiency, reduce costs, and improve service quality. The study covers the historical development of AI, its current status, and its applications in various medical domains such as genomics, drug development, medical imaging, electronic medical records, health management, and robotics. Key topics include the classification of AI algorithms, AI frameworks, and modeling methods. The article also discusses the challenges and opportunities in AI-assisted medicine, emphasizing the economic value and broad application scope of AI in healthcare. It concludes by summarizing the advancements and future prospects of AI in healthcare, highlighting its potential to revolutionize medical practices and improve patient outcomes.The article provides a comprehensive survey of the development and application of artificial intelligence (AI) in the medical field. It highlights the increasing demand for healthcare services and the potential of AI to enhance medical efficiency, reduce costs, and improve service quality. The study covers the historical development of AI, its current status, and its applications in various medical domains such as genomics, drug development, medical imaging, electronic medical records, health management, and robotics. Key topics include the classification of AI algorithms, AI frameworks, and modeling methods. The article also discusses the challenges and opportunities in AI-assisted medicine, emphasizing the economic value and broad application scope of AI in healthcare. It concludes by summarizing the advancements and future prospects of AI in healthcare, highlighting its potential to revolutionize medical practices and improve patient outcomes.