Rapid technological advances in non-invasive imaging, coupled with the availability of large
data sets and the expansion of computational models and power, have revolutionized the …

Abstract Background and Objective Recently, deep convolutional neural network has
significantly improved image classification and image segmentation. If coronary artery …

Cardiovascular disease is a leading cause of death in cancer survivors. It is critical to apply
new predictive and early diagnostic methods in this population, as this can potentially inform …

Intravascular ultrasound (IVUS) imaging is widely used for diagnostic imaging in
interventional cardiology. The detection and quantification of atherosclerosis from acquired …

Artificial intelligence and machine learning are no longer a science fiction image of the
future. In recent years, machine learning has seen increased use in most sciences to solve …

Access to big data analyzed by supercomputers using advanced mathematical algorithms
(ie, deep machine learning) has allowed for enhancement of cognitive output (ie, visual …

Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

Chest radiography (CXR) is the most frequently performed radiological test worldwide
because of its wide availability, non-invasive nature, and low cost. The ability of CXR to …

Purpose Recent guidelines provide broader support for the use of less invasive imaging
modalities for the evaluation of patients with stable chest pain. Coronary CT angiography …