
Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era
Author(s) -
Joelle Hallak,
Angelica C. Scanzera,
Dimitri T. Azar,
R.V. Paul Chan
Publication year - 2020
Publication title -
current opinion in ophthalmology, with evaluated medline/current opinion in ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.371
H-Index - 86
eISSN - 1080-8132
pISSN - 1040-8738
DOI - 10.1097/icu.0000000000000685
Subject(s) - triage , covid-19 , telemedicine , medicine , pandemic , medline , health care , medical emergency , artificial intelligence , pathology , computer science , disease , infectious disease (medical specialty) , outbreak , political science , law , economics , economic growth
To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to: describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS-CoV-2 and COVID-19 specific to ophthalmology; and implement efficient patient triage and telemedicine care.