Clinic Cuff Measurements in Accuracy and Stability NEW YORK, /PRNewswire/ -- AEYE Health, the leader in ophthalmic AI and retinal diagnostics and the developer of AEYE-DS, the fastest growing solution ...

Smartphone-based retinal imaging captures postural vascular changes that may serve as early markers for diabetic retinopathy progression.

Sticking to your medication plan, managing your blood sugar, and taking care of your mental health can all be important components of self-care for diabetic retinopathy. Self‑care can’t cure diabetic ...

As technology advances in diabetes care with continuous glucose monitors, insulin pumps and AI-driven alerts, another kind of intelligence is proving just as powerful: a dog’s nose. Across the country ...

Ensemble deep-learning system with xAI (Grad-CAM) for automated diabetic retinopathy detection and staging using retinal fundus images.

Diabetic retinopathy is a complication of diabetes caused by uncontrolled blood sugar levels damaging the blood vessels and eye tissue located at the retina. The condition occurs in patients with both ...

This article is part of “Innovations In: Type 1 Diabetes”, an editorially independent special report that was produced with financial support from Vertex. Sterling Glass had many health problems as a ...

Hypoglycemia is linked to an increased risk for and progression of diabetic retinopathy, according to new research presented at The Retina Society (TRS) Annual Meeting 2025. Severe hypoglycemia is ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy. A dual-modality, deep learning system can accurately detect vision-threatening diabetic retinopathy (vtDR) using ...