№ lp_2_1_10644
This paper presents a methodology for the independent evaluation of algorithms for the analysis of diabetic retinal images using AI, focusing on fairness and trustworthiness in large-scale healthcare screenings across diverse ethnic populations.
Year: 2023
Region / city: London, UK
Topic: Healthcare, Medical Imaging, AI, Diabetic Retinopathy, Screening Programmes
Document type: Research paper
Author: Jiri Fajtl, Roshan A Welikala, Sarah Barman, Ryan Chambers, Louis Bolter, John Anderson, Abraham Olvera-Barrios, Royce Shakespeare, Catherine Egan, Christopher G. Owen, Adnan Tufail, Alicja R. Rudnicka
Target audience: Researchers, Healthcare professionals, Medical AI developers, Public health policymakers
Period of validity: From January 1, 2021, to December 31, 2022
Approval date: Not specified
Modification date: Not specified
Price: 8 / 10 USD
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