Rudnicka, A; Fajtl, J; Welikala, R; Shakespeare, R; Barman, S; Jiang, X; Hysi, P; Foster, P; Whincup, P; Owen, C; et al. Rudnicka, A; Fajtl, J; Welikala, R; Shakespeare, R; Barman, S; Jiang, X; Hysi, P; Foster, P; Whincup, P; Owen, C; Rudnicka, A; Fajtl, J; Welikala, R; Kingdom, U; Shakespeare, R; Barman, S; Jiang, X; Hysi, PG (2025) Is Artificial intelligence (AI) enabled retinal vasculometry key to the identification age, sex and race from retinal images? In: 2025 ARVO Annual Meeting, INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, May 4-8, 2025, Salt Lake City, Utah, United States.
SGUL Authors: Rudnicka, Alicja Regina

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Item Type:	Conference or Workshop Item (Paper)
SGUL Research Institute / Research Centre:	Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title:	INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Article Number:	3875
ISSN:	0146-0404
Related URLs:	https://www.webofscience.com/api/gateway...
Publisher License:	Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Projects:	Project ID Funder Funder ID MR/L02005X/1 Medical Research Council http://dx.doi.org/10.13039/501100000265 PG/15/101/31889 British Heart Foundation http://dx.doi.org/10.13039/501100000274
Dates:	Date Event 2025-06 Published
URI:	https://openaccess.sgul.ac.uk/id/eprint/117934

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