Automated Diabetic Retinopathy Image Assessment Software Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders

摘要

Objective: With the increasing prevalence of diabetes, annual screening for diabetic retinopathy (DR) by expert human grading of retinal images is challenging. Automated DR image assessment systems (ARIAS) may provide clinically effective and cost-effective detection of retinopathy. We aimed to determine whether ARIAS can be safely introduced into DR screening pathways to replace human graders.