An Automated Machine-Learning Approach to Quantify the Relative Afferent Pupil Defect

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Identifier 20240305_nanos_posters_424
Title An Automated Machine-Learning Approach to Quantify the Relative Afferent Pupil Defect
Creator Matthew Hunt; Edward Linton; Pieter Poolman; Randy Kardon
Affiliation (MH) (PP) (RK) University of Iowa; (EL) Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA, USA
Subject Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc); Pupil; Optic Neuritis
Description Automated pupillometry can provide a fast, objective measurement of afferent visual function, but can be confounded by blinking and relies on constriction amplitude, velocity and latency. This poses limits on identification of clinically significant abnormalities. Machine learning (ML) analysis of pupillometry waveforms may provide superior performance and uncover hidden connections between pupillary dynamics and disease.
Date 2024-03
References Zandi B, Lode M, Herzog A, Sakas G, Khanh TQ. PupilEXT: Flexible Open-Source Platform for High-Resolution Pupillometry in Vision Research. Front Neurosci. 2021;15:676220. Pinheiro HM, da Costa RM. Pupillary light reflex as a diagnostic aid from computational viewpoint: A systematic literature review. J Biomed Inform. 2021;117:103757. Lustig-Barzelay Y, Sher I, Sharvit-Ginon I, et al. Machine learning for comprehensive prediction of high risk for Alzheimer's disease based on chromatic pupilloperimetry. Sci Rep. 2022;12(1):9945. Temel D, Mathew MJ, AlRegib G, Khalifa YM. Relative Afferent Pupillary Defect Screening Through Transfer Learning. IEEE J Biomed Health Inform. 2020;24(3):788-795.
Language eng
Format application/pdf
Type Text
Source 2024 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2024: Poster Session: Analytical Studies: New Diagnostic Measurement Techniques
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 2024. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s67rb6qg
Setname ehsl_novel_nam
ID 2594251
Reference URL https://collections.lib.utah.edu/ark:/87278/s67rb6qg
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