Coronary artery disease (CAD) represents one of the most important causes of death around
the world. Multimodality imaging plays a fundamental role in both diagnosis and risk …

Acute coronary syndrome is the leading cause of cardiac death and has a significant impact
on patient prognosis. Early identification and proper management are key to ensuring better …

Coronary artery disease (CAD) remains a leading cause of mortality and morbidity
worldwide, and it is associated with considerable economic burden. In an ageing …

There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning
and deep learning approaches in cardiovascular (CV) medicine. In the era of modern …

Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for
evaluation of coronary artery disease (CAD). Despite the excellent capability to rule‐out …

Artificial intelligence (AI) is spreading to every aspect of cardiac imaging, including study
indication, protocol selection, image acquisition and reconstruction, data post-processing …

The number of cardiovascular imaging studies is growing exponentially, and so is the need
to improve clinical workflow efficiency and avoid missed diagnoses. With the availability and …

In this current digital landscape, artificial intelligence (AI) has established itself as a powerful
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …

Cardiovascular disease is the leading cause of mortality in Western countries and leads to a
spectrum of complications that can complicate patient management. The emergence of …

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 …