Valvular heart disease (VHD) is the next epidemic in the cardiovascular field, affecting
millions of people worldwide and having a major impact on health care systems. With aging …

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

Abstract Background The American College of Cardiology/American Heart Association
guidelines recommend the assessment and grading of severity of aortic stenosis (AS) as …

Background The extent of extravalvular cardiac damage is associated with increased risk of
adverse events among patients with severe aortic stenosis undergoing aortic valve …

Background Aortic stenosis is the most common cardiac valve disorder requiring clinical
management. However, there is little evidence on the societal cost of progressive aortic …

Objective We developed an artificial intelligence decision support algorithm (AI-DSA) that
uses routine echocardiographic measurements to identify severe aortic stenosis (AS) …

Background Aortic stenosis (AS) is a degenerative valve condition that is underdiagnosed
and undertreated. Detection of AS using limited two-dimensional echocardiography could …

Background Identifying individuals with severe aortic stenosis (AS) at high risk of mortality
remains challenging using current clinical imaging methods. Objectives The purpose of this …

Importance Calcific aortic stenosis (AS) restricts the aortic valve opening during systole due
to calcification and fibrosis of either a congenital bicuspid or a normal trileaflet aortic valve …

Medical innovations and novel technologies stand to improve the return on high levels of
health spending in developed countries, particularly in cardiovascular care. However …