Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …

Coronary CT angiography (CCTA) has evolved into a first-line diagnostic test for the
investigation of chest pain. Despite advances toward standardizing the reporting of CCTA …

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 …

Objective This study aims to investigate the safety and feasibility of using a deep learning
algorithm to calculate computed tomography angiography–based fractional flow reserve (DL …

Objectives To explore downstream management and outcomes of machine learning (ML)–
based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical …

Objective To investigate the effect of coronary calcification morphology and severity on the
diagnostic performance of machine learning (ML)–based coronary CT angiography (CCTA) …

Invasive fractional flow reserve (FFR) measured by a pressure wire is a reference standard
for evaluating functional stenosis in coronary artery disease. Coronary computed …

Objectives To propose a novel functional Coronary Artery Disease–Reporting and Data
System (CAD-RADS) category system integrated with coronary CT angiography (CCTA) …

Objectives To investigate the feasibility and prognostic implications of coronary CT
angiography (CCTA) derived fractional flow reserve (FFR CT) in patients who have …