(HealthDay News) — An artificial intelligence (AI) model integrated into a retina tracker for diabetic retinopathy can achieve high accuracy while being resource-efficient, according to a study ...

Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology.&ldquo ...

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

According to the research findings published in Scientific Reports, the deep learning model detects the severity grade of diabetic retinopathy and macular edema accurately. Diabetic retinopathy is ...

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 ...

Google and Verily, Alphabet's life sciences arm, are using machine learning to screen for diabetic retinopathy (DR) and diabetic macular edema (DME), two eye conditions that can lead to blindness ...