Ocellux - Early Diabetic Retinopathy Flagging

Ocellux is an AI-driven diagnostic solution designed to detect and flag diabetic retinopathy using retinal fundus images.

It leverages deep learning models trained on publicly available datasets to analyze retinal scans and identify early signs of diabetic retinopathy with high accuracy. The solution integrates with Ecarebetics, a dedicated screening software for diabetic eye disease, to provide a seamless experience for image capture, analysis, and report generation. Ocellux enables timely detection and referral, helping to prevent vision loss among diabetic patients. Its lightweight, cost-effective architecture supports easy integration into diverse healthcare workflows and screening programs, including those in remote and underserved regions.

Key Differentiators

• Provides on-the-spot AI reporting in less than 30 seconds after image capture
• Generates an AI summary indicating the condition of the retina and probable next steps
• Compatible with a wide range of fundus imaging devices and acquisition setups
• Utilizes public datasets and custom-trained models for accurate diabetic retinopathy flagging
• Easily integrates into existing clinical workflows and screening camps
• Supports referral decision-making by highlighting urgency and severity