An Artificial Intelligence System for the Diagnosis of Paralytic Strabismus Using Nine-Directional Ocular Photographs

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Identifier 20230314_nanos_posters_327
Title An Artificial Intelligence System for the Diagnosis of Paralytic Strabismus Using Nine-Directional Ocular Photographs
Creator Hyunjin Shin; Hyunkyoo Kang
Affiliation (HS) Konkuk University Hospital; (HK) Konkuk University
Subject Ocular Motility; Adult Strabismus with a Focus on Diplopia
Description Clinical evaluation of eye versions plays an important role in the diagnosis of paralytic strabismus. This research aims to create an artificial intelligence (AI) algorithm that can classify 3rd, 4th, and 6th cranial nerve palsy with nine positions of gaze photos.
Date 2023-03-14
References None provided.
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: Ocular Motility Disorders and Nystagmus
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Holding Institution North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Rights Management Copyright 2023. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s696dh9a
Setname ehsl_novel_nam
ID 2335532
Reference URL https://collections.lib.utah.edu/ark:/87278/s696dh9a
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