Open AccessArtificial intelligence for retinopathy of prematurity
Author(s) -
Rebekah H. Gensure,
Michael F. Chiang,
J. Peter Campbell
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.0000000000000680
Subject(s) - retinopathy of prematurity , artificial intelligence , medicine , generalizability theory , deep learning , applications of artificial intelligence , computer science , machine learning , pregnancy , statistics , genetics , mathematics , biology , gestational age
In this article, we review the current state of artificial intelligence applications in retinopathy of prematurity (ROP) and provide insight on challenges as well as strategies for bringing these algorithms to the bedside.