Preview

PDF 128125 Journal ...pdf | Download (884kB) | Preview

Abstract

Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has broad application across many medical fields, it will have particular utility in ophthalmology and will dramatically change the diagnostic and treatment pathways for many eye conditions such as corneal ectasias, glaucoma, age-related macular degeneration and diabetic retinopathy. However, given that AI has primarily been driven as a computer science, its concepts and terminology are unfamiliar to many medical professionals. Important key terms such as machine learning and deep learning are often misunderstood and incorrectly used interchangeably. This article presents an overview of AI and new developments relevant to ophthalmology.

Item Type:	Article
Authors/Creators:	Hogarty, DT and Mackey, DA and Hewitt, AW
Keywords:	artificial intelligence, deep learning, machine learning, ophthalmology, diabetic retinopathy
Journal or Publication Title:	Clinical and Experimental Ophthalmology
Publisher:	Blackwell Publishing Asia
ISSN:	1442-6404
DOI / ID Number:	10.1111/ceo.13381
Copyright Information:	Copyright 2018 Royal Australian and New Zealand College of Ophthalmologists. This is the peer reviewed version of the following article: Current state and future prospects of artificial intelligence in ophthalmology: a review, which has been published in final form at http://dx.doi.org/10.1111/ceo.13381. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Related URLs:	Google Scholar: Hewitt, AW UTAS Profile: Hewitt, AW
Item Statistics:	View statistics for this item

Actions (login required)

Item Control Page