The evaluation of retinal images using an algorithm based on deep machine learning can improve early detection and treatment of diabetic retinopathy, claims research. Adults with type 2 diabetes ...

A recent Scientific Reports study developed DiaNet v2, an updated form of previously developed DiaNet, which was the first deep learning-based model to diagnose diabetes using retinal images.

Google researchers have worked with doctors to develop an AI that can automatically identify diabetic retinopathy, a leading cause blindness among adults. Using deep learning—the same breed of ...

Its aim was to use the technology to detect diabetic retinopathy (DR), a condition ... but only through using the deep learning system did it present a real problem, leading to ungradable images ...

Both eyes showed signs of diabetic retinopathy, a condition that can ... the safety of these systems,” he said. Though these deep-learning systems are new, they are hardly the first effort ...