The advent of deep learning in ophthalmology has revolutionised the detection and diagnosis of diabetic retinopathy (DR). By utilising convolutional neural networks (CNNs) and advanced ...

A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can ...

While artificial intelligence (AI)-assisted detection of diabetic retinopathy has the potential to expand access to screening, few patients with diabetes have been evaluated with the technology since ...

Only a small proportion of patients with diabetes have undergone artificial intelligence (AI)–based screening for diabetic retinopathy since 2021, despite approval from the US Food and Drug ...

This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to the eye and improvements in restoring vision. This piece also marks part ...

Julie Rodman, OD, MS, FAAO, discusses how optical coherence tomography angiography (OCT-A) can be used to diagnose and manage diabetic retinopathy. Julie Rodman, OD, MS, FAAO, clinic chief at Nova ...

Researchers identify the protein LRG1, which is present in the body, as a trigger of early retinal damage in diabetic ...

In a significant move toward integrating artificial intelligence into preventive eye care, the All India Institute of Medical Sciences (AIIMS), along with the Union health ministry’s e-health division ...