A Doppler-exclusive non-invasive computational diagnostic, monitoring, and predictive framework for patients with mixed and complex cardiovascular diseases

Hemodynamics quantification is critically useful for accurate and early diagnosis, but we still lack proper diagnostic methods for many cardiovascular diseases. Furthermore, as most interventions intend to recover the healthy condition, the ability to monitor and predict hemodynamics following interventions can have significant impacts on saving lives. Predictive methods are rare, enabling prediction of effects of interventions, allowing timely and personalized interventions and helping critical clinical decision making about life-threatening risks based on quantitative data. We developed an innovative non-invasive Doppler-based diagnostic, monitoring and predictive tool for patient with complex cardiovascular diseases enabling quantifying both local and global hemodynamics (called myCardiac). myCardiac also predicts the breakdown of the effects of each disease constituents on the heart function. Presently, neither of these can be obtained noninvasively in patients and when invasive procedures are undertaken, the collected metrics cannot be by any means as complete as the ones myCardiac provides. myCardiac purposefully uses a limited number of noninvasive input parameters all of which can be measured using Doppler echocardiography and sphygmomanometer. myCardiac was validated against clinical cardiac catheterization, Magnetic resonance imaging and Doppler echocardiography measurements.