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

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? 

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Exciting news! CardioCare’s new predictive algorithms now enable physicians to identify and prioritize the most at-risk patients.