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 ...
Scientists at Johns Hopkins University are creating virtual replicas of patients’ hearts so they can test how to fix a ...
Artificial intelligence (AI)-based algorithms that use electrocardiogram (ECG) data have high accuracy in predicting ...
In a large cohort study, the Predicting Risk of Cardiovascular Disease Events calculator underestimated overall risk for ...
A study was conducted to determine the effect of integrating clinical, genetic, and artificial intelligence-enabled ECG risk signals in prediction of AF risk.
BACKGROUND: With the increasing diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) at earlier stages and new ...
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