Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic
imaging for various diseases and modalities and therefore has a high potential to be used …

Cardiovascular diseases (CVDs) continue to be a major global health concern, representing
a leading cause of morbidity and mortality. This review provides a comprehensive …

The aim of our study is to validate a totally automated deep learning (DL)-based
segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed …

Aneurysm (Rupture of blood vessels) may happen in the cerebrum, abdominal aorta and
thoracic aorta of humans, which has a high fatal rate. The advancement of the artificial …

Imaging in the emergent setting carries high stakes. With increased demand for dedicated
on-site service, emergency radiologists face increasingly large image volumes that require …

The advent of deep learning (DL) has revolutionized medical imaging, offering
unprecedented avenues for accurate disease classification and diagnosis. DL models have …

In the past decade, artificial intelligence (AI)-based applications have exploded in
healthcare. In cardiovascular disease and vascular surgery specifically, AI tools such as …

Objectives The artificial intelligence competition in healthcare at TEKNOFEST-2022
provided a platform to address the complex multi-class classification challenge of abdominal …

Abdominal aortic aneurysm (AAA) is the dilatation of the abdominal aorta beyond 50% of its
normal diameter and affects a wide range of society. If left untreated, AAA continues to grow …

Objective This study aims to review the application of deep learning techniques in the
imaging diagnosis and treatment of aortic aneurysm (AA), focusing on screening, diagnosis …