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 ...

this week released the results of new research using deep learning and visual analytics technology to advance early detection of diabetic retinopathy (DR) 1. The results, which classify the degree ...

In recent years, AI has emerged as a tool in the early detection and treatment of diabetic retinopathy ... images are later analyzed by artificial intelligence using advanced machine learning ...

Researchers found mixed results when they tested an artificial intelligence (AI)‒based system for detecting diabetic retinopathy ... high-quality images, she says, diagnoses using low-quality ...

There are several systemic health risks associated with diabetes, such as heart disease, chronic kidney disease and diabetic retinopathy ... significance of early detection and prompt intervention ...

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.

IBM developed a method combining deep learning and visual analytics to detect and gauge the severity of diabetic retinopathy ... in a statement. Using more than 35,000 eye images, the IBM team ...

It makes use of the same machine-learning technique that Google uses to label millions of Web images. Diabetic retinopathy is ... Some form of automated detection could make the diagnosis more ...