This review targets various scenarios where CFD could be used and the logical parts
needed for exemplary computations. The machine learning aspect with algorithms that have …

The risk of coronary heart disease (CHD) clinical manifestations and patient management is
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …

Objectives The purpose of this study was to analyze the ability of machine-learning (ML)-
based computed tomography (CT)-derived fractional flow reserve (CT-FFR) to further …

Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary
arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation …

Background The influence of extensive coronary calcifications on the diagnostic and
prognostic value of coronary computed tomography angiography–derived fractional flow …

CT fractional flow reserve (FFRCT) is a physiologic simulation technique that models
coronary flow from routine coronary CT angiography (CTA). To evaluate lesion-specific …

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …

Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated
with substantial economic burden on healthcare systems around the world. Coronary artery …

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 …

Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the
reproducibility of this approach and the possibility to reduce time necessary to generate a …