Overview
AI analyzes fundus images to detect diabetic retinopathy and refer patients for care. Automated screening increases access and reduces specialist burden. Integration with teleophthalmology expands reach.
Performance
Sensitivity and specificity are key metrics for screening algorithms. Validation in diverse populations ensures generalizability. Referral pathways manage positive findings and follow up.
Deployment
Cloud and edge based solutions enable scalable screening programs. Training of local staff and quality control maintain image acquisition standards. Data governance protects patient privacy.
Impact
Early detection reduces vision loss through timely treatment. Screening programs improve population health outcomes and reduce long term costs. Continuous monitoring ensures program effectiveness.