Journal article

Facilitating diabetic retinopathy screening using automated retinal image analysis in underresourced settings

Nicola Quinn, Laima Brazionis, Benjamin Zhu, Chris Ryan, Rossella D'Aloisio, Hongying Lilian Tang, Tunde Peto, Alicia Jenkins

DIABETIC MEDICINE | WILEY | Published : 2021

Abstract

AIM: To evaluate an automated retinal image analysis (ARIA) of indigenous retinal fundus images against a human grading comparator for the classification of diabetic retinopathy (DR) status. METHODS: Indigenous Australian adults with type 2 diabetes (n = 410) from three remote and very remote primary-care services in the Northern Territory, Australia, underwent teleretinal DR screening. A single, central retinal fundus photograph (opportunistic mydriasis) for each eye was later regraded using a single ARIA and a UK human grader and national DR classification system. The sensitivity and specificity of ARIA were assessed relative to the comparator. Proportionate agreement and a Kappa statistic..

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