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Sociodemographic differences in performance and perceptions of Artificial Intelligence automated retinal image analysis systems (ARIAS) for the detection of diabetic retinopathy within the English NHS Diabetic Eye Screening Programme (DESP)

Rudnicka, A; Fajtl, J; Willis, K; Chandrasekaran, L; Chaudhry, U; Olvera-Barrios, A; Lee, A; Egan, CA; Anderson, J; Barman, S; et al. Rudnicka, A; Fajtl, J; Willis, K; Chandrasekaran, L; Chaudhry, U; Olvera-Barrios, A; Lee, A; Egan, CA; Anderson, J; Barman, S; Owen, CG; Tufail, A (2023) Sociodemographic differences in performance and perceptions of Artificial Intelligence automated retinal image analysis systems (ARIAS) for the detection of diabetic retinopathy within the English NHS Diabetic Eye Screening Programme (DESP). In: 2023 ARVO Annual Meeting, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, April 23-27 2023, New Orleans, La.
SGUL Authors: Rudnicka, Alicja Regina Chaudhry, Umar Ahmed Riaz Owen, Christopher Grant

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Item Type: Conference or Workshop Item (Paper)
Additional Information: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0).
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Article Number: 2279
ISSN: 0146-0404
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Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Dates:
Date Event
2023-06 Published
URI: https://openaccess.sgul.ac.uk/id/eprint/118283

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