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 ...

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 made-in-Calgary 4D heart model is transforming treatment for heart failure patients having a specialized pacemaker inserted ...

A study was conducted to determine the effect of integrating clinical, genetic, and artificial intelligence-enabled ECG risk signals in prediction of AF risk.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Researchers confirmed a four-biomarker model is more informative at younger vs older ages, with slight sex differences.