Artificial Intelligence in Retinal Imaging

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Identifier 20190320_nanos_retinalchanges1_04-abstract
Title Artificial Intelligence in Retinal Imaging
Creator Tien Yin Wong, MD, MBBS, MMED (Ophth), MPH, PhD, FRCSE, FRANZCO, FAMS
Affiliation Professor & Medical Director, Singapore National Eye Centre, Vice-Dean & Deputy Group CEO, SingHealth Duke-NUS Academic Medical Centre, National University of Singapore
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.
Date 2019-03
Language eng
Format application/pdf
Type Text
Source 2019 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS 2019: Retinal Microvascular Changes Neurologic Disorders
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 2019. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6vj03hr
Setname ehsl_novel_nam
ID 1422871
Reference URL https://collections.lib.utah.edu/ark:/87278/s6vj03hr
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