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Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward.

Tan, T-E; Chan, HW; Singh, M; Wong, TY; Pulido, JS; Michaelides, M; Sohn, EH; (2021) Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward. British Journal of Ophthalmology 10.1136/bjophthalmol-2021-319365. (In press). Green open access

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Type: Article
Title: Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward.
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bjophthalmol-2021-319365
Publisher version: https://doi.org/10.1136/bjophthalmol-2021-319365
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: diagnostic tests/investigation, dystrophy, genetics, imaging, retina
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10129127
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