Jagat Narula a, 1, Y. Chandrashekhar b, 1, Amir Ahmadi a, Suhny Abbara c, Daniel S.
Berman d, Ron Blankstein e, Jonathon Leipsic f, David Newby g, Edward D. Nicol h, Koen …

Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

Background: Coronary computed tomographic angiography (CTA) is a reliable modality to
detect coronary artery disease. However, CTA generally overestimates stenosis severity …

Objectives The 1-year data from the international ADVANCE (Assessing Diagnostic Value of
Non-invasive FFRCT in Coronary Care) Registry of patients undergoing coronary computed …

Aims Non-invasive assessment of stable chest pain patients is a critical determinant of
resource utilization and clinical outcomes. Increasingly coronary computed tomography …

Coronary computed tomography angiography (CTA) has shown great technological
improvements over the last 2 decades. High accuracy of CTA in detecting significant …

Objectives: This meta-analysis determined the diagnostic performance of coronary
computed tomography (CT) angiography (CTA), CT myocardial perfusion (CTP), fractional …

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 …

Background Coronary CT angiography with noninvasive fractional flow reserve (FFR)
predicts lesion-specific ischemia when compared with invasive FFR. The longer term …

Humans perceive physical properties such as motion and elastic force by observing objects
in visual scenes. Recent research has proven that computers are capable of inferring …