This study presents a novel deep learning (DL) framework, the Deep Neural Frailty Competing Risks (DNFCR) model, which simultaneously integrates frailty and competing risks (CR) for mortality ...
About The Study: Across multinational cohorts, a noise-adapted artificial intelligence (AI)-electrocardiogram (ECG) model estimated heart failure risk using lead I ECGs, suggesting a potential heart ...
The incidence and prevalence of heart failure with preserved ejection fraction (HFpEF) are increasing. Although new therapies are being introduced to improve patient outcomes, such as SGLT2 inhibitors ...
A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...
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