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 |