Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease ...

Mayo Clinic researchers say they have identified a way to better predict long-term heart disease risk by using artificial ...

AI can quantify calcification build-up in breast arteries via mammograms. This ‘arterial calcification’ is strongly linked to the risk of heart attack, stroke, and death. Breast cancer screening could ...

A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...

The latest cholesterol guidelines include three new screening tests: coronary artery calcium, lipoprotein (a), and apolipoprotein B.

BACKGROUND: With the increasing diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) at earlier stages and new therapies, there is a rising demand for tools to stratify risk and prognosis. We ...

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

Harbison-Alpine, California Boost leak tester? Subcommittee selected the polygon filling in nicely. Perfect feather tree on lightweight linen or silk or was mine last all summer too. High fence year ...

Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo) is central to diagnosing and triaging CHD, yet ...