With the development of science and technology, artificial intelligence is gradually integrated into every aspect of daily life and the medical field is no exception. Cardiovascular diseases, as the first killer to global health, is the focus of new technologies and methods. In this study, the application of computer vision, natural language processing, robotics and machine learning in cardiovascular disease studies were reviewed and prospected, in order to promote the development for new technologies and applications in the future.
With the advancement and development of computer technology, AI-based medical assistance decision-making systems are widely used in clinical settings. In the perioperative period of cardiovascular surgery, artificial intelligence can be applied to preoperative diagnosis, intraoperative, and postoperative risk management. This article introduces the application and development of artificial intelligence during the perioperative period of cardiovascular surgery, including preoperative auxiliary diagnosis, intraoperative risk management, postoperative management, and full process auxiliary decision-making management. At the same time, it explores the challenges and limitations of the application of artificial intelligence and looks forward to the future development direction.