Lead researcher Lily Peng, M.D., Ph.D., of Google Inc., Mountain View, Calif., and colleagues applied deep learning to create an algorithm for automated detection of diabetic retinopathy and ...

MELBOURNE, Australia, April 20, 2017 /PRNewswire/ -- IBM (NYSE: IBM) this week released the results of new research using deep learning and visual analytics technology to advance early detection ...

A deep learning approach to diagnosing diabetic retinopathy and macular edema can accurately identify the conditions and their progressio, researchers say. Deep learning is a field of artificial ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings.

Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the ...

Diabetic retinopathy is one of the first diagnostic applications that Google has found for it’s deep learning computer vision team. Other teams are already working on similar projects.

And here comes the good news for patients suffering from diabetes facing related complications. It is a deep learning algorithm capable of interpreting signs of DR in retinal photographs.