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

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 ...

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

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

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 ...

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

Diabetic retinopathy (DR), a severe microvascular complication of diabetes mellitus, poses a significant global health threat with its rising prevalence amidst the diabetes pandemic. As the leading ...

Artificial Intelligence (AI) algorithms are revolutionizing the way retina images are analyzed for detecting conditions such as age-related macular degeneration (AMD) and diabetic retinopathy. These ...

A novel AI-powered retina tracker can analyze retinal images with near-perfect accuracy in under one second, according to a ...

Doctors and eye specialists in Itanagar unite to boost diabetic eye care awareness and patient education in the Northeast.