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.