VCAST

An AI-powered, non-invasive alternative to stress tests and invasive angiography

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 Virtual Cardiac Stress (VCAST) is a patented medical system developed by Kardiolytics to assess the hemodynamic significance of coronary artery atherosclerotic stenosis. It delivers detailed, real-time visualizations of coronary anatomy and flow dynamics, including computed quantities of blood, pressure, and velocity to assist physicians in completing the diagnosis and designing the treatment plan for coronary artery disease.

FFR Insights from a Simple CT Scan

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.

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.

01

CT Scan

02

CT Dataset

03

AI Power

Vessel segmentation and reconstruction

04

Full Analysis

05

Results

Advantages of VCAST

VCAST provides a safe, accessible, and cost-effective alternative to traditional FFR diagnostics—using only standard CT imaging, without wires, catheters, or specialist intervention.

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This is a medical device. Use it according to the instruction manual or label. The manufacturer and entity advertising is Medicalgorithmics S.A.

Kardiolytics Virtual Cardiac Stress Test (VCAST) is software for simulating coronary vessel physiology for clinical quantitative and qualitative analysis of previously acquired data from computer tomography in DICOM format, specifically for clinically stable, symptomatic patients with coronary artery disease.

See also

PocketECG
VCAST
Kardiobeat.ai
DRAI

VCAST

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VCAST

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Kardiobeat

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PocketECG

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PocketECG

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DeepRhythm Platform (DRP)

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DRAI MARTINI study is set to be published soon. Be the first to know when it lands.
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DeepRhythmAI (DRAI)

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Custom Tailored To Your Needs.
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