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Clinical Research

The great potential of cardisiography lies in the early detection of Coronary Artery Disease (CAD) in people who are still completely symptom-free and whose state of health does not allow the blood circulation status to be determined. The study shows results that demonstrate the clear benefit of the method for the early detection of poor blood flow to the heart muscle. First peer-reviewed study involving Cardisio demonstrates accuracy in new non-invasive coronary artery disease detection.

 Here you can access an abstract of the study and
here the journal Pre-proof.

Sensitivity

The sensitivity is 97% in the male subjects and 90% in the female subjects, i.e. 97% of sick men are recognized as sick and 90% of women.

Specificity

In terms of specificity, the women who took part in the study were 76% ahead of the men with 74%, i.e. 76% of healthy women are recognized as healthy and 74% of men.

Diagnosis

The cardisiography spends more potentially sick people but ensures early detection and the possibility of therapy / treatment to reduce the late effects and costs.

Early detection of low blood flow is so important because people with CAD usually remain symptom-free until the first event, which is often a heart attack.

Due to the high sensitivity and specificity of cardisiography, it is now possible to diagnose pathological changes long before an event! Severe heart attacks and the associated restrictions in the quality of life of those affected can thus be avoided!

Other screening procedures fail to recognize many sick people and send them home. The late effects can be both very cost-intensive and life-threatening.

Low specificity?

The algorithm primarily recognizes two states: “healthy” and “sick”. If a measurement cannot be assigned exactly “healthy” or “sick”, the result is “sick”. Due to the artificial intelligence behind the cardisiography, these ambiguous results are also recorded, analyzed and put into context for more precise evaluations.