VCAST is supported by AI engine that helps Medicalgorithmics analyze coronary CT data and provide functional information that supports clinical decisions.

The Virtual Cardiac Stress Test (VCAST) is a patented, AI-based medical system developed for non-invasive, clinical quantitative and qualitative analysis of CT-scan data, to assess the hemodynamic significance of coronary artery atherosclerotic stenosis. The Kardiolytics cardiac test is rapid, inexpensive and entirely noninvasive. It provides personalized, color-coded, 3D modeling of the coronary arteries combined with detailed, functional diagnostic information regarding blood flow. This includes computed quantities of blood, pressure, and velocity and is designed to assist the physician both in completing the diagnosis and designing the treatment plan for coronary artery disease. The test provides information usually obtained only by the highly invasive FFR test (that involves inserting a pressure wire into coronary arteries). All data that are required for VCAST come from a widely available and inexpensive CT-scan imaging that is conducted by a technician and not a doctor and the results can be forwarded to a doctor remotely. It is independent of imaging equipment, imaging protocols, and equipment vendors.