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 ...

Diabetic Retinopathy (DR), a prevalent diabetes complication leading to blindness, often goes undetected until late stages due to patients seeking help only when symptoms manifest and limited experts' ...

Diabetic retinopathy (DR) is a serious eye condition induced by diabetes that can result in eyesight. In order to overcome the vision impairment of diabetes mellitus patients, it is essential for ...

Diabetic patients with high myopia have a significantly lower choroidal vascularity index (CVI) than those with diabetic retinopathy (DR), according to research published in Frontiers in Cell and ...

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

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

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Optical coherence tomography angiography: microvascular alterations in diabetic eyes without diabetic retinopathy. Arq Bras Oftalmol. 2021;84 (2):149–157. Ari Widjaja S, Mieler WF, Sasono W et al.

A new study introduces a diffractive optical framework for real-time 3D and multispectral imaging, eliminating digital ...