Hybrid and transformer based artificial intelligence for diabetic retinopathy diagnosis a systematic review of methods challenges and clinical readiness
Diabetic retinopathy (DR) remains a leading cause of preventable blindness worldwide, placing a growing burden on healthcare systems. While artificial intelligence (AI) offers promising tools for early detection and scalable screening, its transition from research to real-world clinical use faces significant hurdles. T...