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CorEx
CorEx
CorEx
CorEx
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Key Features

  • Confidence score
  • FFR-AI prediction per coronary
  • Risk prioritization
  • Stenosis classification according to CAD-RADS

General Information

Product name

CorEx

Company

Subspeciality

Cardiac

Modality

CT

Disease targeted

Coronary stenosis

Main task

Not specified

Technical Specifications

Population

Should not be used under the age of 12 years

Patient population age

Not specified

Input

CCTA: MPR curvilinear images / 40° for the 3 main arteries (27 images)

Input format

DICOM

Output

Draft radiology report, worklist order, image annotations, risk score, table of quantified values, 3D visualization of coronary arteries with stenosis map

Output format

PDF

Integration

Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Etc., Image upload, On demand, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

03-2021

AI Platforms

Incepto

Resellers

Not specified

Countries present

EU

Paying clinical customers

Not specified

Research/test users

35

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses, Number of ct scanners using application

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study

Peer-Reviewed

View

Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography

Peer-Reviewed

View

Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations

Peer-Reviewed

View

Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence

Peer-Reviewed

View

Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection

Source: vendor | First published: Jan 19, 2023 | Last updated: Jul 9, 2025