1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging
Ehsan Vaghefi, David Squirrell, Songyang An +2
Purpose: To create and evaluate the accuracy of an artificial intelligence Deep learning platform (ORAiCLE) capable of using only retinal fundus images to predict both an individua…
physics.med-ph2021★ 1 cited
A multi-center prospective evaluation of THEIA to detect diabetic retinopathy (DR) and diabetic macular edema (DME) in the New Zealand screening program
Ehsan Vaghefi, Song Yang, Li Xie +2
Purpose: to assess the efficacy of THEIA, an artificial intelligence for screening diabetic retinopathy in a multi-center prospective study. To validate the potential application o…