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 ...

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 ...

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 ...

The algorithm can look at retinal images and detect diabetic retinopathy—which ... Still, the power of machine learning—especially a technique known as deep learning, may make AI more common ...

PUDUCHERRY: In a major breakthrough, researchers at Pondicherry University have identified molecular markers in tear fluid that could enable early, non-invasive detection of diabetic retinopathy ...

The machine learning algorithm is being applied to screen for both diabetic retinopathy and diabetic macular edema, which can cause blindness but are preventable if caught early enough, they said.

The hospital’s been working on an automated diabetic retinopathy screening since 2003 ... which were used to train a deep neural network — layers of mathematical functions modeled after ...