Research Work

Research Overview:

Diabetic retinopathy (DR) remains a leading cause of blindness globally, especially among working-age adults. Traditional screening methods are labor-intensive, subjective, and limited in resource-poor environments. RetinaSys is a novel system that not only automates DR detection with state-of-the-art deep learning but also integrates explainable AI (xAI) to ensure interpretable decision-making. The system generalizes across diverse demographics using robust training on varied datasets and is optimized for real-time deployment in resource-constrained settings.

Research Objectives:

• Develop a scalable, high-performing DR detection model
• Integrate explainable AI for transparent clinical decisions
• Enhance generalization across diverse populations
• Optimize the system for real-time deployment in resource-limited environments

Current Progress:

90% Complete