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 risk by enhancing a routinely performed imaging test with artificial ...
Mayo Clinic researchers say they have identified a way to better predict long-term heart disease risk by using artificial ...
Cognitive decline, mental health and heart disease are all shaped by the deep links between heart and brain – with major ...
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 ...
A study was conducted to determine the effect of integrating clinical, genetic, and artificial intelligence-enabled ECG risk signals in prediction of AF risk.
Quantitative CCTA plaque measures improve MACE risk prediction in symptomatic outpatients without known coronary artery ...
A large proportion of people living with diabetes may have undiagnosed heart failure, according to results from a recent ...
Poor diet quality is strongly associated with elevated cardiovascular disease morbidity and mortality risk. This American Heart Association scientific statement for food-based cardiovascular health ...
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