CorEx

Spimed-AI
CorEx is artificial intelligence software for cardiac imaging. It prioritizes at-risk patients. It automatically analyzes coronary CT images (CCTA) images independently detecting and classifying coronary lesions quantitatively. CorEx automatically classifies stenosis according to the international CAD-RADS classification. CorEx aids the assessment of artery damage and the severity of the obstruction. It also provides an FFR AI prediction: for each coronary the solution predicts if the threshold of 80% is reached or not.
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Information source: Vendor
Last updated: November 19, 2024

General Information

General
Product name CorEx
Company Spimed-AI
Subspeciality Cardiac
Modality CT
Disease targeted Coronary stenosis
Key-features Stenosis classification according to CAD-RADS, FFR-AI prediction per coronary, confidence score, risk prioritization
Suggested use Before: adapting worklist order
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
After: diagnosis verification

Technical Specifications

Data characteristics
Population Should not be used under the age of 12 years
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
Technology
Integration Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class I , MDD
FDA No or not yet
Intended Use Statements
Intended use (according to CE) CorEx is a standalone software that is intended to be used for viewing and analyzing cardiac computed tomography (CT) data in support for the evaluation of coronary artery disease (CAD). This software post processes CT images obtained using any Computed Tomography (CT) scanner. The software provides visualization of CT scan images, classification of coronary lesions according to their degree of severity (using the international CAD-RADS classification) and can, in the event of a lesion, infer their functional character by estimating the coronary flow reserve (FFR). The results of this analysis are provided to support qualified clinicians to aid in the evaluation and assessment of coronary arteries. The results of CorEX are intended to be used by qualified clinicians in conjunction with the patient’s clinical history, symptoms, and other diagnostic tests, as well as the clinician’s professional judgment.

Market

Market presence
On market since 03-2021
Distribution channels
Countries present (clinical, non-research use) EU
Paying clinical customers (institutes)
Research/test users (institutes) 35
Pricing
Pricing model Pay-per-use, Subscription
Based on Number of analyses, number of CT scanners using application

Evidence

Evidence
Peer reviewed papers on performance

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

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

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

  • Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection (read)
Non-peer reviewed papers on performance
Other relevant papers