IDENTIFY (CADFEM)

Patient Information

This study will compare a non-invasive point of care test developed using surface electrodes (like an EKG) and machine learning and signal analytics (artificial intelligence) to transform early detection of heart disease. This will include patients referred for clinically indicated SPECT imaging, coronary CTA, and coronary angiographic to develop the machine learned algorithms.

Learn More

Study Contact: cardiovascularresearch@conehealth.com

Principal Investigator(s)

Thomas Stuckey, MD

Clinical Trial Categories

• Coronary Heart Disease

Sponsor(s)

CorVista