Machine-learning physiologic signal model achieved 90% sensitivity and 99% negative predictive value for ischemia detection in symptomatic patients The model showed strong sensitivity in both ...

Two studies presented at the American College of Cardiology Scientific Session offered insights into how to diagnose and ...

The fat cells that surround coronary arteries may play a central and previously unrecognized role in development of cardiovascular disease, according to a study by University of Iowa researchers. Dr.

CorVista Health to Present New Data on Non-Invasive Point of Care Test for Ischemia with Non-Obstructive Coronary Arteries Using Machine Learning at ACC.26 CorVista Health today announced the upcoming ...

Researchers from the University of Minnesota Medical School examining the cause of cardiomyopathy discovered one out of every six patients with coronary artery disease had non-ischemic or dual ...

BARCELONA -- Percutaneous coronary intervention (PCI) did not improve outcomes for ischemic cardiomyopathy patients with substantial atherosclerotic coronary artery disease in the first few years ...

A staging system for coronary artery disease, based on levels of plaque in the blood vessels, may help people begin treatment earlier and prevent cardiac events. Coronary artery disease (CAD) occurs ...

CorVista Health Demonstrates High-Sensitivity for Noninvasive Detection of CAD including INOCA (Ischemia with No Obstructed Coronary Arteries) at ACC.26 Machine-learning physiologic signal model ...

CorVista Health, a leader in noninvasive cardiovascular diagnostics, today announced new data evaluating a physiologic signal–based machine-learning model for detecting cardiac ischemia. The data was ...