Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …

In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …

In 1971, the first patient CT examination by Ambrose and Hounsfield paved the way for not
only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for …

Trials show that low-dose computed tomography (CT) lung cancer screening in long-term
(ex-) smokers reduces lung cancer mortality. However, many individuals were exposed to …

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 …

This article describes the technical principles and clinical applications of dual-energy
computed tomography (DECT) in the context of cardiothoracic imaging with a focus on …

Objectives To evaluate the risk category performance of artificial intelligence-based
coronary artery calcium score (AI-CACS) software used in non-gated chest computed …

Abstract Objectives Coronary artery calcifications (CACs) indicate the presence of coronary
artery disease. CAC can be found on thoracic computed tomography (CT) conducted for non …

Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …