Lead researcher Lily Peng, M.D., Ph.D., of Google Inc., Mountain View, Calif., and colleagues applied deep learning to create an algorithm for automated detection of diabetic retinopathy and ...

A deep learning approach to diagnosing diabetic retinopathy and macular edema can accurately identify the conditions and their progressio, researchers say. Deep learning is a field of artificial ...

Diabetic patients with high myopia have a significantly lower choroidal vascularity index (CVI) than those with diabetic retinopathy (DR), according to research published in Frontiers in Cell and ...

"DeepDR Plus," a deep learning system, accurately predicts diabetic retinopathy progression up to five years using fundus images, offering potential for personalized screening and management in ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology.&ldquo ...

Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the ...