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Kardiolytics Inc.

The most effective and safe procedures for coronary vessel analytics

health AIcardiologymedtech
Stageunfunded
Raised$0
Founded2018
Employees6
LocationChicago, IL
Business modelB2B, SaaS, web-based diagnostic tool

About

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.

Product

Value proposition
AI-driven analysis of CT scans to noninvasively assess coronary artery disease and hemodynamic significance, providing diagnostic and planning information that previously required invasive procedures
Target customers
Cardiology clinics, hospitals, radiology groups, healthcare providers

Founders

  • Paul Lewicki — Co-Founder
  • Kris Siemionow — Co-Founder

Categories

Artificial IntelligenceCardiologyMedical ImagingAnalyticsSaaS

Products

VCAST (Virtual Cardiac Stress Test)Kardiolytics cardiac test3D coronary vessel modelingAI-based hemodynamic analysis

Key features

non-invasive CT-based coronary assessmentAI-driven segmentation and 3D reconstructionquantitative flow, pressure, velocity metricscolor-coded 3D modelspersonalized treatment planning and simulationremote result sharingweb-based physician workflow

Technologies

Artificial IntelligenceBig Data Learning3D modelingCT imaging analysisweb-based application

Integrations

EHRs / healthcare IT systems (generic mention of easy deployment)

Target conditions

coronary artery diseaseatherosclerosiscoronary stenosisFFR-equivalentsrevascularization planning

Care settings

clinichospitalvirtual/remote review

News

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Profile updated Jul 29, 2026. Sources: kardiolytics.com

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