Non-Ophthalmologist-Led Screening

Uses

Benefits

Preparation

Comparisons

Highlighted claims

• A trained non-ophthalmologist acquired fundus images after a structured 15-day training programme at a tertiary retina clinic. — Evaluation of non-ophthalmologist-led and offline AI-assisted models for diabetic retinopathy screening in India: a pragmatic diagnostic accuracy study
• Human grader-based screening at the health and wellness centre achieved high sensitivity and specificity for diabetic retinopathy detection. — Evaluation of non-ophthalmologist-led and offline AI-assisted models for diabetic retinopathy screening in India: a pragmatic diagnostic accuracy study
• Human grader-based screening at the health and wellness centre had high sensitivity and specificity for referable diabetic retinopathy. — Evaluation of non-ophthalmologist-led and offline AI-assisted models for diabetic retinopathy screening in India: a pragmatic diagnostic accuracy study
• The non-ophthalmologist-led health and wellness centre model performed better diagnostically and operationally than the home-based offline AI model. — Evaluation of non-ophthalmologist-led and offline AI-assisted models for diabetic retinopathy screening in India: a pragmatic diagnostic accuracy study
• The health and wellness centre model supports task shifting in primary care but requires infrastructure, training and quality image acquisition. — Evaluation of non-ophthalmologist-led and offline AI-assisted models for diabetic retinopathy screening in India: a pragmatic diagnostic accuracy study