VisioGene

VisioGene is an experimental research initiative that integrates artificial intelligence with ophthalmic diagnostics to enhance early detection and clinical decision-making in retinal healthcare. The project investigates the efficacy of AI models in identifying and classifying 13 major retinal diseases — including diabetic retinopathy, glaucoma, age-related macular degeneration, diabetic macular edema, and hypertensive retinopathy — from retinal fundus scans. By comparing AI-driven diagnostic outputs with assessments made by medical professionals, Visiogene seeks to evaluate precision, reliability, and potential integration pathways for AI-assisted screening tools in real-world clinical environments.

Beyond its technical foundation, VisioGene aims to bridge the gap between computational innovation and clinical application. The project follows a research-driven, prototype-testing methodology to design a diagnostic companion tool that supports ophthalmologists in timely and accurate disease detection. Through this multidisciplinary approach, Visiogene envisions a future where technology complements medical expertise to make eye care more accessible, data-driven, and efficient for all.

Learn more at Visiogene.in