"We have to stop treating cardiovascular disease as unexpected or inevitable," writes Dr. Sadiya Khan.

Experts at the University of Oxford have found a way to use artificial intelligence to predict the future as part of ...

The study shows that disease severity and poor prognosis in ATTR-CM are associated with elevated levels of mid-regional ...

Heart failure presents a growing public health problem both in Estonia and across Europe. At the same time, its timely ...

Oxford team’s technology picked up danger signs with 86% accuracy in study of 72,000 patients in England Oxford scientists have developed a simple AI tool that can predict the risk of heart failure ...

What if doctors could determine heart health before ever stepping into the operating room? At Kennesaw State University, ...

Cardiovascular-kidney-metabolic syndrome staging may help identify which older adults are at greatest risk for incident heart failure.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...