Application of artificial intelligence in cardiovascular disease research and clinical practice

Abstract

This paper briefly described the application of artificial intelligence (AI) in disease management and clinical research for diagnosis, prediction, treatment, and basic research of cardiovascular diseases (CVDs) and analyzed challenges in this field.The review highlighted extensive progress of AI technology application in the diagnosis and prediction of CVDs. For example, AI combined with ECG and cardiovascular imaging achieved an accurate diagnosis. Moreover, AI may integrate imaging data with other clinical data and so supported early screening and predicting of coronary artery disease, congenital heart disease, heart failure, and other CVDs risk. This paper also pointed out that AI-assisted cardiovascular interventional therapy and clinical decision-making are still on the way of development and AI-assisted multi-omics research is far from clinical application, which is the main direction of future research. In this paper, the problems faced by AI in the diagnosis, prediction, treatment, and basic research of CVDs were summarized and the application prospects of AI in the cardiovascular field have been prospected.

Keywords

• artificial intelligence(ai)|cardiovascular diseases(cvds)|clinical application