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 |