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 |