RICHMOND HILL, N.Y.-- (BUSINESS WIRE)--Jul 8, 2026-- ...

Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested ...

2 School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and ...

The company's software analyses images captured by the iCare DRSplus camera, a tool widely used in ophthalmology clinics and ...

DR, an AI-powered screening software designed to detect more than mild diabetic retinopathy in adults with diabetes, ...

For decades, the management of diabetic retinopathy (DR) has consisted mainly of optimizing metabolic control (blood glucose, pressure and lipids) and routine surveillance as preventive strategies, ...

Incorporation of an artificial intelligence based-optical coherence tomography (AI-OCT) system as a secondary screening tool is noninferior to standard practice and can reduce unnecessary diabetic ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high blood pressure, high cholesterol, gout, osteoporosis and thyroid disease in ...

A routine eye photograph could soon become one of the fastest ways to check your overall health. Scientists have created an ...

Vascular mural cells (VMCs) are integral components of the retinal vasculature with critical homeostatic functions such as maintaining the inner blood-retinal barrier and vascular tone, as well as ...

FundusX-AI is an end-to-end research and demo system for fundus image analysis. It combines diabetic retinopathy classification, lesion detection, explainability, structured reporting, API serving, a ...