Aims To evaluate a deep-learning model (DLM) for detecting coronary stenoses in
emergency room patients with acute chest pain (ACP) explored with electrocardiogram …

Cardiovascular CT is being widely used in the diagnosis of cardiovascular disease due to
the rapid technological advancements in CT scanning techniques. These advancements …

OBJECTIVE: Coronary artery disease (CAD) is a major global cause of death, greatly
affecting life expectancy and quality of life for populations. With the advent of artificial …

Rationale and Objectives To explore the value of an artificial intelligence (AI)-based
application for identifying plaque-specific stenosis and obstructive coronary artery disease …

Background The application of deep learning on medical imaging is growing in prevalence
in the recent literature. One of the most studied areas is coronary artery disease (CAD) …

Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection
and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the …

Background This study aimed to access the performance of our deep learning-based model
in the segmentation and classification of vascular lesions on IVUS images. Methods A total …

Background Coronary computed tomography angiography examinations are increasingly
becoming established as a minimally invasive method for diagnosing coronary diseases …

Objectives To prospectively investigate whether fully automated artificial intelligence (FAAI)-
based coronary CT angiography (CCTA) image processing is non-inferior to semi …

Background. Coronary artery disease (CAD) is a type of cardiovascular disease which is
one of the leading causes of death around the world. The presence of coronary stenosis is …