AI's reach in retinal disease: Lab bench to bedside to backpack
New research covers a 3D OCT foundation model, an OCTA biomarker review and offline smartphone screening for three retinal diseases.
Retinal artificial intelligence (AI) is often discussed in isolation, with studies focusing on a single setting such as the reading centre, biomarker research or point-of-care screening. Three recent studies illustrate how these applications are evolving across that spectrum. One study introduces a foundation model designed to automate the 3D optical coherence tomography (OCT) reading workflow in tertiary referral centres. Another study systematically reviews the reliability of current OCT angiography (OCTA) biomarkers for detecting early diabetic retinopathy (DR). A third study evaluates an offline smartphone platform designed to screen for multiple eye diseases in real-world clinical settings in India.