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.4,5
4 Moualla SK, McCarthy PM, Thomas JD, et al. Using Artificial Intelligence to Predict the Progression from Moderate to Severe Aortic Stenosis. J Am Coll Cardiol. 2021;78(19_Suppl_S):B24. Intelligence-Based Medicine. In Press. doi: 10.1016/j.ibmed.2022.100062
5 As presented at TVT 2021
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.3
3 Thomas JD, Petrescu OM, Moualla SK, et al. Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis. Intelligence-Based Medicine. In Press. doi: 10.1016/j.ibmed.2022.100059