Generative AI for Non-invasive Retinal Angiography

This project develops generative AI technology to synthesize retinal angiography from non-invasive fundus images, aiming to reduce reliance on invasive, time-consuming and costly angiographic examinations. The platform supports FFA, ICGA and ultra-widefield angiography generation, with potential applications in retinal disease screening, clinical assessment and downstream image analysis. We are seeking partners for clinical validation, device/platform integration, commercial translation and regional deployment.