ReduCe unCerTAinty

One heart exam and that's it !

Spimed-AI has developed an innovative artificial intelligence application, called CorEx.

CorEx Automatically analyzes Coronary CT images (CCTA), independently detecting and classifying coronary lesions quantitatively as an expert second reader.

CorEx prioritizes and draws your attention to at-risk patients while expediting the processing of normal exams with increased confidence.

Thanks to CorEx, numerous invasive and costly examinations can be replaced by

a single, comprehensive exam.

2 modules, 1 exam 1 relevant result

CAD RADS-AI

The solution automatically classifies stenosis according to the international CAD-RADS classification. With CorEx, you can see in seconds which artery is damaged and the severity of the obstruction.

For research use only

FFR-AI

An attenuation of more than 80% of the blood flow through the stenosis is the common threshold to consider the stenosis as significant and dangerous. Beyond this point, surgery is recommended. The most common procedures are the stent and the bypass.

For each coronary, the solution predicts if this important threshold is reached or not.

96%

Accuracy on CorEx

Validated by a study

30 000

Database to

train our AI

30

Hospitals and clinics

Using our solution

CorEx Benefits

Accurate

Expert level performance

Invasive FFR as gold standard

Fast

Results in less than

1 minute

Efficient

Improved Workflow

Read severe cases first

Secure

On-Premise solution

and Cloud solution

Universal

Works on any CT and

any patient

An international vision

CorEx is used in over 30 centers worldwide.

Already present in Europe and in the USA (in research only), we continue to conquer the different continents.

CE marked since 2021, we are waiting for the FDA approval in 2023.

Testimonials

Pr Jean-François DEUX, Radiologist

"I think this system could bring more to daily interpretation cardiac scans, at the beginning radiologist by confirming his analysis, but also with the more experienced radiologist by prioritizing, for example, the reading of examinations via an automated analysis prior to the human radiological reading."