Artificial Intelligence Applications in Neuro-Ophthalmology: Current State and Future Directions

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Identifier 20230314_nanos_posters_268
Title Artificial Intelligence Applications in Neuro-Ophthalmology: Current State and Future Directions
Creator Celine Dumitrascu; Emilie Weinberg; Oana Dumitrascu; Florin Grigorian
Affiliation (CD) Basis Scottsdale; (EW) (OD) Mayo Clinic; (FG) University of Arkansas Jones Eye Institute
Subject Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc); Retina; Miscellaneous; Neuroimaging
Description Artificial intelligence (AI) studies in ophthalmology led to FDA-approved clinical diagnostic tools. Similarly, AI applications in Neuro-ophthalmology bring the promise of providing automated devices for early diagnosis, monitoring, and timely management of ocular disorders to ophthalmic and non-ophthalmic providers. Recent guidelines to bridge the development-to-implementation gap in clinical AI and to guide quality assessments were developed. To inform current and future state of AI and Neuro-ophthalmic practice, we aimed to systematically review the current literature on AI applications in Neuro-ophthalmology.
Date 2023-03-14
Language eng
Format application/pdf
Type Text
Source 2023 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2023: Poster Session II: Neuro-Imaging
Collection Neuro-Ophthalmology Virtual Education Library: NANOS Annual Meeting Collection: https://novel.utah.edu/collection/nanos-annual-meeting-collection/
Publisher North American Neuro-Ophthalmology Society
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah
Rights Management Copyright 2023. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6710z7e
Setname ehsl_novel_nam
ID 2335473
Reference URL https://collections.lib.utah.edu/ark:/87278/s6710z7e
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