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

Tufail, Adnan; Kapetanakis, Venediktos; Salas-Vega, Sebastian; Egan, Catherine; Rudisill, Caroline; G. Owen, Christopher; Lee, Aaron; Louw, Vern; Anderson, John; Liew, Gerald; Bolter, Louis; Bailey, Clare; R. Sadda, Srinivas; Taylor, Paul; R. Rudnicka, Alicja

doi:10.3310/hta20920

Public

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

Published in Health Technology Assessment • Dec 1, 2016

Authors:

Adnan Tufail

Venediktos Kapetanakis

Sebastian Salas-Vega

Abstract

BACKGROUND: Diabetic retinopathy screening in England involves labour-intensive manual grading of retinal images. Automated retinal image analysis systems (ARIASs) may offer an alternative to manual grading. OBJECTIVES: To determine the screening performance and cost-effectiveness of ARIASs to repla...

Subject

Grading (engineering)

Observational study

Diabetic retinopathy

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