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 ...
A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can ...
The number of people given AI-assisted screening tests to detect diabetic retinopathy is considerably low despite the potential benefits of the technology, research has demonstrated. Academics from ...
Only a small proportion of patients with diabetes have undergone artificial intelligence (AI)–based screening for diabetic retinopathy since 2021, despite approval from the US Food and Drug ...
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AI developed for early detection of cardiovascular disease, diabetic eye conditions, and cancer
Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could support medical professionals in detecting and accurately diagnosing the stage ...
Diabetic retinopathy (DR), a serious eye condition caused by damage to the blood vessels in the retina—the light-sensitive tissue at the back of the eye—is a major public health concern in India. This ...
EyeArt (Eyenuk), RetinaLyze (RetinaLyze System A/S) and Retmarker (Retmarker) use artificial intelligence (AI) technology to analyse retinal images to help diagnose diabetic retinopathy. The aim is to ...
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AIIMS unveils MadhuNETrAI, India’s first fully validated AI app to detect diabetic retinopathy
In a significant move toward integrating artificial intelligence into preventive eye care, the All India Institute of Medical Sciences (AIIMS), along with the Union health ministry’s e-health division ...
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