Multiple ML techniques have potential for characterization and risk prediction of aortic
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …

Automated and accurate segmentation of the aorta in 4D (3D+ time) cardiovascular
magnetic resonance (MR) image data is important for early detection of congenital aortic …

Cardiovascular disease remains an integral field on which new research in both the
biomedical and technological fields is based, as it remains the leading cause of mortality …

Cardiovascular disease represents major health problems worldwide, and although medical
and technical advances have been achieved, they are still associated with high morbidity …

OBJECTIVE: In risk stratification of aortic diseases such as aneurysm and aortic dissection,
diameter is one parameter whose influence on the average aortic wall stress is directly …

Aortic aneurysms (AAs) are dilations of the aorta, that are often fatal upon rupture.
Diagnostic radiological techniques such as ultrasound (US), magnetic resonance imaging …

The complexity of aortic disease is more fully revealed with new functional imaging
techniques than with conventional anatomic analysis alone. This may better inform …

Objective Accurate prediction of abdominal aortic aneurysm (AAA) growth in an individual
can allow personalised stratification of surveillance intervals and better inform the timing for …

In this EACVI clinical scientific update, we will explore the current use of multi-modality
imaging in the diagnosis, risk stratification, and follow-up of patients with aortic stenosis, with …