Enhance the Cardiac MRI to promote accuracy for diagnosing heart disease, doing so will improve outcomes at the patient level, and help address the high cost of heart disease management at the payor level.
Kardia Processes the Dicom File from a Cardiac MRI. We use Tissue Tagging and DENSE, both standard on a cardiac MRI. We compare the patient's heart to a proprietary DB of the normal heart. We calculate the Z-Score to determine the cardiac muscle viability.
Our founders have published a paper describing this approach:
Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using
Regional Left Ventricular Multiparametric Strain.
Kardia is a SaaS model that can interface throughout the radiology ecosystem via API's.