A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

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

SENSE, a nationwide artificial intelligence (AI) initiative to interpret cardiac imaging scans in minutes, aiding early detection and prediction of coronary artery disease SENSE, a nationwide ...

One of the authors of the paper, Clare Arnott, an associate professor and the global director of the Cardiovascular Program at The George Institute, emphasised the need for new methods to identify ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...