Abstract
In recent years, artificial intelligence (AI) has been used to improve the precision of valvular heart disease diagnosis and treatment. It has the ability to identify and risk stratify patients with valvular heart disease and holds promise in improving the innovation of new treatments through shorter, safer and more effective clinical trials. AI can help to guide the treatment of patients with valvular heart disease, by aiding in optimal device selection for transcatheter valvular interventions and, potentially, predicting the risk of specific complications. This review article explores the various potential applications of AI in the diagnosis and treatment of valvular heart disease in more detail.