References [1] A deep learning system for predicting time to progression of diabetic retinopathy. Nature Medicine (2024). [2] Fundus-DeepNet: Multi-label deep learning classification system for ...

"DeepDR Plus," a deep learning system, accurately predicts diabetic retinopathy progression up to five years using fundus images, offering potential for personalized screening and management in ...

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 ...

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 ...