OpenAI's ChatGPT-4o enhances ophthalmological image generation, producing realistic retinal photographs while highlighting ...

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

A combination of routine eye scans and AI has created a powerful new way for measuring short-sightedness to better predict ...

The scientists used an AI called Frozen and Learning Ensemble Crossover (FLEX) to predict retinal age from fundus images. They fed FLEX over 20,000 eye photos from more than 10,000 adults of all ...

A combination of routine eye scans and AI has created a powerful new way of measuring nearsightedness to better predict ...

We have introduced an efficient method to superimpose eye fundus images from persons with diabetes screened over many years for diabetic retinopathy. The method is fully automatic and robust to ...

A 38-year-old woman was referred to the retina service at the Lahey Hospital & Medical Center’s department of ophthalmology by a retina specialist for temporal flashes and a stationary black ...

All color retinal fundus images were then segmented into grayscale retinal vessel maps, which were, in turn, iteratively transformed via thresholding, binarizing or skeletonizing to eliminate any ...

At the 8-week follow-up visit, the patient’s visual acuity in the right eye had improved to 20/30, and examination of the fundus showed resolution of the retinal hemorrhage and a normal foveal ...

Uncovering a ‘retinal age gap’ Researchers monitored the participants, all between 40 and 69 years-old, for an average of 11 years. Each person had their fundus — the back surface of the eye ...