This project is a deep learning-powered web application that detects Diabetic Retinopathy (DR) from retinal fundus images using a Convolutional Neural Network (CNN) and transfer learning. It features ...

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

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 ...

In this Healio Video Perspective from Clinical Trials at the Summit, Arshad M. Khanani, MD, MA, FASRS, highlights first-time ...

New research shows that retinal neurons can rewire to preserve vision in retinitis pigmentosa, a genetic disease causing blindness.

Background Diabetic retinopathy (DR) is a leading cause of blindness, with an increasing reliance on large language models ...

Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for ...

Kirk Ermine from Sturgeon Lake First Nation was diagnosed with Type 1 diabetes at 21 and it shaped his future. He’s become a chef with a special emphasis on healthy eating.

Artificial Intelligence can be used to predict heart attack risk using retinal images, according to new research backed by Google. The researchers trained deep learning algorithms on data from ...

Medik8’s new crystal retinal age-defying facial combines two of my favourite elements in skin care — retinal and facial massage. Designed in collaboration with master facialist Michaella ...

Vision AI is a cutting-edge, AI-driven platform that can detect diabetic retinopathy and other retinal diseases with high accuracy and speed using retinal scans, as well as diseases unrelated to ...

Pre-Training leads to faster and more accurate predictions In the first step, the team investigated whether training with retinal waves has any impact on a neural network’s performance.