Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

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 Clinical reads of coronary computed tomography angiography (CTA),
especially by less experienced readers, may result in overestimation of coronary artery …

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

Abstract Coronary Artery Disease Reporting and Data System (CAD-RADS) was created to
standardize reporting system for patients undergoing coronary CT angiography (CCTA) and …

Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …

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 …

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 …

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

Purpose The purpose of this study was to evaluate a deep-learning model (DLM) for
classifying coronary arteries on coronary computed tomography-angiography (CCTA) using …