Abstract： Diseases prognosis is often influenced by multiple factors, and some intricate non-linear relationships exist among those factors. Artificial neural network （ANN）, an artificial intelligence model, simulates the work mode of biological neurons and has a b capability to analyze multi-factor non-linear relationships. In recent years, ANN is increasingly applied in clinical medical fields, especially for the prediction of disease prognosis. This article focuses on the basic principles of ANN and its application in disease prognosis research.
Bloodless surgery is a comprehensive and systematic perioperative treatment approach in order to avoid allogeneic transfusion for surgery，improve patient prognosis，and relieve blood shortage. Bloodless heart surgery indicates some perioperative strategies to avoid allogeneic transfusion and improve clinical outcomes，which involves participation of cardiac surgeons and other professionals during cardiac surgery. For years，many cardiac surgeons have utilized several blood management and conservation techniques during open heart surgery to avoid allogeneic transfusion. Research results from major medical centers indicate that bloodless heart surgery can shorten postoperative recovery period and improve patientprognosis. In this review，we describe basic theory and systematic methods of bloodless surgery，and summarize applicationprogress of bloodless heart surgery and current status in China.