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? 

Related Articles

AI Alliance

What the EARLY TAVR Trial Data Could Mean for Already Busy Heart Teams 

On the heels of the exciting EARLY TAVR data and egnite’s Acute Valve Syndrome in Aortic Stenosis study, both led by Dr. Philippe Genereux, we’ve been asked by several cardiovascular (CV) administrators what a potential change in the management of asymptomatic severe aortic stenosis (SAS) patients could mean for their already busy heart teams.

Real-World Evidence

Acute Valve Syndrome in Aortic Stenosis

“These findings are extremely important and complementary to the recently presented EARLY TAVR Trial, published in the NEJM. The absence of symptoms was traditionally considered a sign of relative safety. However, this study shows how frequent acute valve syndrome is in patients undergoing AVR, and how patients would benefit greatly

Press

egnite Inc.’s Real-World Evidence Demonstrates Improved Survival in Asymptomatic Aortic Stenosis Patients Undergoing Aortic Valve Replacement (AVR)

egnite Inc.’s Real-World Evidence Demonstrates Improved Survival in Asymptomatic Aortic Stenosis Patients Undergoing Aortic Valve Replacement (AVR) Key Findings Demonstrate 3x Improved Survival for Asymptomatic AS Patients Undergoing AVR versus AS Patients Presenting with Acute Valve Syndrome ALISO VIEJO, Calif. – October 28, 2024 – egnite, Inc., a leading cardiovascular digital