Mayo Clinic researchers say they have identified a way to better predict long-term heart disease risk by using artificial ...
A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
A new study looked at whether heart scan results can help predict serious cardiovascular or cerebrovascular (brain) events ...
Artificial intelligence (AI)-based algorithms that use electrocardiogram (ECG) data have high accuracy in predicting ...
A made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features. A polygenic risk score (PRS) can capture multiple genetic risk factors ...
BACKGROUND: With the increasing diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) at earlier stages and new ...
Morning Overview on MSN
AI model flags advanced heart failure earlier using routine ultrasound data
Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...
Background The Heart Failure Association Pre-test Assessment, Echocardiography and Natriuretic Peptide, Functional testing, ...
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