Identifier |
20210221_nanos_journalclub1_03-abstract |
Title |
Artificial Intelligence Reveals Disease-Specific Quantifiable Visual Field Defects in Idiopathic Intracranial Hypertension |
Creator |
Hiten Doshi, Elena Solli, Louis Pasquale, Tobias Elze, Michael Wall, Mark Kupersmith |
Subject |
Optic Neuropathy; Pseudotumor Cerebri; Visual Fields |
Description |
Assessing regional visual field (VF) changes typically requires qualitative expert or subjective analysis. Archetypal analysis (AA), a type of unsupervised machine learning, has been used to identify and monitor patterns of VF loss in glaucoma. AA has not beenapplied to non-glaucomatous optic neuropathy VFs. We investigated the use of AA to quantify and monitor disease-specific VF defects in patients with idiopathic intracranial hypertension (IIH). |
Date |
2021-02 |
Language |
eng |
Format |
application/pdf |
Type |
Text |
Source |
2021 North American Neuro-Ophthalmology Society Annual Meeting |
Relation is Part of |
NANOS Annual Meeting 2021: Journal Club: What You Need to Know Now! |
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 2021. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
ARK |
ark:/87278/s60w47v3 |
Context URL |
The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/ |
Contributor Primary |
Hiten A. Doshi, BS |
Contributor Secondary |
Elena Solli, Louis Pasquale, Tobias Elze, Michael Wall, Mark Kupersmith |
Setname |
ehsl_novel_nam |
ID |
1671202 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s60w47v3 |