Early diagnosis through regular screening is important for preventing diabetic retinopathy ... However, deep learning models are usually trained on a large amount of labeled DR data.

The deep learning model identified referable diabetic retinopathy comparably or better than presented in previous studies, although only a very small data set was used for its training.

In an academic paper published this week, the team detailed how a deep learning tool that showed ... Its aim was to use the technology to detect diabetic retinopathy (DR), a condition that can ...

Google's artificial intelligence can play the ancient game of Go better than any human. It can identify faces, recognize spoken words, and pull answers to your questions from the web. But the ...

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 ...

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.

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 ...