CASE STUDY: Identifying the most at-risk structural heart patients – Egnite

Chad Brokaw

Identifying the Most At-Risk Structural Heart Patients

CardioCare’s artificial intelligence algorithms predict trends to help physicians:

Identify undiagnosed severe aortic stenosis

Track progression of moderate aortic stenosis

Trained on the largest commercial database of more than 500,000 deidentified echocardiograms to improve the quality of patient care.

How do you know if a severe patient has been missed?

Read the full case study here.

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