Artificial intelligence for retinopathy of prematurity.

Journal: Current opinion in ophthalmology

PMID: 32694266

Abstract

PURPOSE OF REVIEW: 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.

Authors

Rebekah H Gensure

Department of Ophthalmology & Visual Sciences, John A. Moran Eye Center, University of Utah, Salt Lake City, Utah.
Michael F Chiang

National Eye Institute, National Institutes of Health, Bethesda, Maryland.
John P Campbell

Department of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland, Oregon, USA.

Keywords

Algorithms Artificial Intelligence Humans Image Interpretation, Computer-Assisted Infant, Newborn Machine Learning Neural Networks, Computer Retinopathy of Prematurity

External Resources

View on PubMed Access via DOI PubMed (32694266)

Artificial intelligence for retinopathy of prematurity.

Abstract

Authors

Keywords

External Resources

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