artificial intelligence for your health

AI based cardio explorer test saves lives

Dr. Michael Bagattini who is using the AI based Cardioexplorer test in his practice Glattpark in Zurich, reports that Cardioexplorer has saved lives. For the reported patients the conventional assessment (including risk scores, blood analyzes, stress ECG, etc.) showed no evidence of coronary heart disease:

"One of these patients has been tested by a cardiologist: stress-testing was negativ - that means no coronary artery disease. we recommended to do a coronary arteriography anyway and it showed now several stenosis. The patient got 7 stents 2 days ago. He is well and went home from the hospital today.

The other patients Cardioexplorer risk class output was also very high risk, I sent him directly to the coronary arteriography. I just got the phone call from the hospital: he has a severe coronary artery disease (multi vessel disease). The hospital kept him und will do some bypass-surgery the next few days."

These additional two cases show that with the Cardioexplorer test, patients which would be missed with conventional procedures, can be identified and referred to the clinic timely.

Cardio Explorer is a non-invasive Artificial Intelligence based eDiagnostic test that timely detects patients with stenosis from coronary artery disease. Cardioexplorer has been developed together with Prof. Zellweger, University hospital Basel and validated in three clinical studies at the University hospital Basel, Switzerland, in the German LURIC study and at the University hospital in Maastricht, Netherlands. Standard diagnostic routines like the stress ECG have a lower accuracy than the Cardioexplorer test.

 

 


Cardioexplorer Deutsch
CE Flyer deutsch 22112017-2.pdf (156.88KB)
Cardioexplorer Deutsch
CE Flyer deutsch 22112017-2.pdf (156.88KB)







Cardioexplorer English
CE Exploris Flyer engl-part28112017-4V3.pdf (304.86KB)
Cardioexplorer English
CE Exploris Flyer engl-part28112017-4V3.pdf (304.86KB)

                                


 






 ROC Model AUC 0.869