Human vs. Machine: The Brain and Optic Nerve Study with Artificial Intelligence (BONSAI) (Slides)

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Identifier 20200310_nanos_sciplatform2_02-slides
Title Human vs. Machine: The Brain and Optic Nerve Study with Artificial Intelligence (BONSAI) (Slides)
Creator Valerie Biousse, Raymond Najjar, Caroline Vasseneix, Jiang Zhubo, Daniel Ting, Yon Liu, Tien Wong, Nancy J. Newman, Dan Milea, For the BONSAI Study Group
Subject Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc), Eyelid & Adnexal Disease
Description We developed and validated an artificial intelligence deep learning system (AI-DLS) to automatically classify optic discs as "normal" or "abnormal", and specifically detect "papilledema", but direct comparison of the diagnostic accuracy of a DLS versus expert neuro-ophthalmologists using the same sample is warranted. Our objective was to compare the diagnostic performance of an AI-DLS versus expert neuro-o phthalmologists in classifying optic nerves as "normal", "papilledema" (optic nerve edema from proven intracranial hypertension), and "other optic nerve abnormalities" on ocular fundus photographs.
Date 2020-03
Language eng
Format application/pdf
Source 2020 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2020: Scientific Platform Session II
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 2020. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6m384nb
Context URL The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/
Contributor Primary Valerie Biousse, MD
Contributor Secondary Raymond Najjar, Caroline Vasseneix, Jiang Zhubo, Daniel Ting, Yon Liu, Tien Wong, Nancy J. Newman, Dan Milea, For the BONSAI Study Group
Setname ehsl_novel_nam
ID 1541471
Reference URL https://collections.lib.utah.edu/ark:/87278/s6m384nb
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