Diabetes detection from non-diabetic retinopathy fundus images using deep learning methodology.

Yovel Rom¹, Rachelle Aviv¹, Gal Yaakov Cohen^2,3, Yehudit Eden Friedman^3,4, Tsontcho Ianchulev^1,5, Zack Dvey-Aharon¹

¹AEYE Health Inc., New York City, NY, USA.

²The Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel.

³Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

⁴Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan, Israel.

⁵New York Eye and Ear of Mount Sinai, Icahn School of Medicine, NY, USA.

PubMed PMC DOI PDF

Abstract

Diabetes is one of the leading causes of morbidity and mortality in the United States and worldwide. Traditionally, diabetes detection from retinal images has been performed only using relevant retinopathy indications. This research aimed to develop an artificial intelligence (AI) machine learning model which can detect the presence of diabetes from fundus imagery of eyes without any diabetic eye…

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