Purpose To evaluate the performance of an AI-based diabetic retinopathy (DR) grading
model in real-world community clinical setting. Methods Participants with diabetes on record …

Background Although numerous studies have described the application of artificial
intelligence (AI) in diabetic retinopathy (DR) screening among diabetic populations, studies …

Aims To assess the safety and workload reduction of an automated 'disease/no
disease'grading system for diabetic retinopathy (DR) within a systematic screening …

Introduction Diabetic retinopathy is a leading cause of vision impairment globally. Vision
loss from diabetic retinopathy can generally be prevented by early detection and timely …

Aims Diabetic retinopathy has long been regarded as the commonest preventable cause of
blindness in the working age population. The aim was to determine if consistent annual …

The National Health and Medical Research Council (NHMRC) is Australia's leading funding
body for health and medical research. The NHMRC also provides the government, health …

Objective: To describe how a novel program of diabetic retinopathy screening was
conceived, refined and sustained in a remote region over 10 years, and to evaluate its …

Background: Self-monitoring of blood glucose (SMBG) in type 2 diabetes patients has been
shown in meta-analyses of randomized trials to improve HbA1c by∼ 0.4% when compared …

Aims To determine the long‐term health economic benefits associated with lispro vs. regular
human insulin (RHI) in UK Type 1 diabetic (T1DM) patients using the previously published …

Aims To validate a sight-threatening diabetic retinopathy (STDR) risk assessment model to
adjust the frequency of eye-screening visits in patients with diabetes mellitus. Methods …