28 Jul 2025 • AI is emerging as a game-changer in diabetic retinopathy (DR) care for type 1 diabetes, with autonomous systems delivering sensitivities up to 97% and specificities up to 90% for vision-threatening DR detection.

Studies show AI boosts screening adherence, follow-up rates (64% vs. 22%), and diagnostic accuracy (AUCs up to 0.96), while machine learning models predict DR progression with AUC-ROC up to 0.92.

Over 93% of patients and clinicians report high satisfaction, highlighting AI’s potential to curb vision loss, streamline care, and drive cost-effective, scalable solutions.

Source: Science Direct | Read Full Story