| 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 |
| Affiliation |
(HD) Albert Einstein College of Medicine, Bronx, New York; (ES) Icahn School of Medicine at Mount Sinai, New York, New York; (LP) (MK) Icahn School of Medicine at Mount Sinai, New York Eye and Ear Infirmary, New York, New York; (TE) Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts; (MW) University of Iowa Hospitals and Clinics, Ophthalmology and Neurology Depts, Iowa City, Iowa |
| 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 been applied 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: 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 2021. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
| ARK |
ark:/87278/s60w47v3 |
| Setname |
ehsl_novel_nam |
| ID |
1671202 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s60w47v3 |
