Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …

Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic
tool to detect and quantify coronary stenosis. Thanks to the rapid technological …

Artificial intelligence (AI) describes the use of computational techniques to perform tasks that
normally require human cognition. Machine learning and deep learning are subfields of AI …

Background Cardiovascular disease (CVD) risk prediction is important for guiding the
intensity of therapy in CVD prevention. Whilst current risk prediction algorithms use …

Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …

In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …

Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

In this clinical practice statement, we represent a summary of the current evidence and
clinical applications of cardiac computed tomography (CT) in evaluation of coronary artery …

Abstract Background The ACC/AHA Pooled Cohort Equations (PCE) Risk Calculator is
widely used in the US for primary prevention of atherosclerotic cardiovascular disease …