An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness.

Two automated retinal image analysis systems achieved acceptable sensitivity and false-positive rates for referable retinopathy and are cost-effective alternatives to a purely manual grading approach.

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