The advent of deep learning in ophthalmology has revolutionised the detection and diagnosis of diabetic retinopathy (DR). By utilising convolutional neural networks (CNNs) and advanced image ...

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 system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

An artificial intelligence (AI) model integrated into a retina tracker for diabetic retinopathy can achieve high accuracy ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

A novel artificial intelligence-based algorithm proved effective as a tool to automate screening for diabetic retinopathy, according to a study. Deep learning methods were used to process 75,137 ...

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 ...

Researchers from Verily, Alphabet’s life sciences arm, developed a deep learning algorithm that can identify diabetic retinopathy with equal or better accuracy than that of trained human experts ...

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.