A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...
An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
Apps that record visits are becoming popular, but they come with privacy and accuracy concerns. By Simar Bajaj At your next appointment, your doctor may have a new kind of assistant listening in: ...
A newly identified protein may hold the key to preventing diabetic blindness. Researchers discovered that LRG1 triggers the earliest damage in diabetic retinopathy by constricting tiny retinal blood ...
Vision-threatening diabetic retinopathy (VTDR) is a severe complication of type 2 diabetes mellitus (T2DM), particularly prevalent in patients with prolonged disease duration, poor glycemic control, ...
Smartphone-based retinal imaging captures postural vascular changes that may serve as early markers for diabetic retinopathy progression. Postural changes in retinal vascular responses captured using ...
Abstract: Diabetic Retinopathy (DR) is a serious complication of diabetes and a major cause of vision loss. The damage it causes to the retina is permanent, which makes early detection and accurate ...
Ensemble deep-learning system with xAI (Grad-CAM) for automated diabetic retinopathy detection and staging using retinal fundus images.
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 ...
Diabetic retinopathy (DR), the leading cause of blindness globally, is currently detected via the ETDRS diabetic retinopathy severity scale (DRSS). While effective, there are now new ways to screen, ...
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