Real-World Evidence

egnite’s database contributes to a body of evidence that helps physicians uncover and close gaps in patient care.

A preview into our work…

The Contemporary Prevalence of Valvular Heart Disease

The largest contemporary analysis of VHD in the US was performed on over 929,000 de-identified echocardiograms from egnite’s database.1,2

Utilizing Artificial Intelligence to Predict the Progression from Moderate to Severe Aortic Stenosis

Published in Intelligence-Based Medicine, leveraged over 1 million de-identified echocardiograms from egnite’s database.3,4

3 Moualla SK, et al. J Am Coll Cardiol. 2021;78(19_Suppl_S):B24.

4 Moualla SK, et al. Intelligence-Based Medicine. 2022;6:100062.

Artificial Intelligence to Assist Physicians in Identifying Patients with Severe Aortic Stenosis

Published in Intelligence-Based Medicine, leveraged over 1 million de-identified echocardiograms from egnite’s database.5

5 Thomas JD, et al. Intelligence-Based Medicine. 2022;6:100059.