Artificial Intelligence in Retinal Imaging

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Identifier 20190320_nanos_retinalchanges1_04_slides
Title Artificial Intelligence in Retinal Imaging
Creator Tien Yin Wong, MD, MBBS, MMED (Ophth), MPH, PhD, FRCSE, FRANZCO, FAMS
Subject Artificial Intelligence, Machine Learning, Deep Learning, Diabetic Retinopathy, Cardiovascular Risk Factors
Description Deep learning (DL) techniques are the latest iterations of artificial intelligence (AI) technology and has sparked significant interest in clinical medicine over the past few years. DL techniques may be used to detect diseases from medical images, including diabetic retinopathy and retinal diseases from retinal photographs, or from OCT. In other fields, DL techniques can diagnose lung conditions from chest X-rays, skin cancers from skin photographs and predict cardiovascular risk factors (e.g., blood pressure, smoking and body mass index) from retinal photographs.
Relation is Part of NANOS 2019: Retinal Microvascular Changes Neurologic Disorders
Contributor Primary Tien Y. Wong, MD, MBBS, MMED (Ophth), MPH, PhD, FRCSE, FRANZCO, FAMS
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Date 2019-03
Format application/pdf
Source 2019 North American Neuro-Ophthalmology Society Annual Meeting
Rights Management Copyright 2019. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
Holding Institution North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Language eng
ARK ark:/87278/s6kq2p02
Setname ehsl_novel_nam
Date Created 2019-09-11
Date Modified 2019-09-11
ID 1455980
Reference URL https://collections.lib.utah.edu/ark:/87278/s6kq2p02
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