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 ...

Alphabet’s Verily developed a deep learning technology that detects diabetic retinopathy with equal or better accuracy than that of trained graders and retina specialists. 7.

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 ...

A study reveals significant retinal vessel changes in diabetic retinopathy, highlighting the need for early detection methods ...

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

Diabetes affects more than 101 million people in India today. The number is estimated to reach 125 million by the year 2045. There are several systemic health risks associated with diabetes, such ...