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Clinical science
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity
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Authors

  • Travis K Redd Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA PubMed articlesGoogle scholar articles
  • John Peter Campbell Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA PubMed articlesGoogle scholar articles
  • James M Brown Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Maryland, USA PubMed articlesGoogle scholar articles
  • Sang Jin Kim Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Susan Ostmo Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA PubMed articlesGoogle scholar articles
  • Robison Vernon Paul Chan Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois, USA PubMed articlesGoogle scholar articles
  • Jennifer Dy Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Deniz Erdogmus Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Stratis Ioannidis Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Jayashree Kalpathy-Cramer Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Maryland, USA PubMed articlesGoogle scholar articles
  • Michael F Chiang Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA PubMed articlesGoogle scholar articles
  • for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium
    Google scholar articles
  1. Correspondence to Michael F Chiang, Departments of Ophthalmology & Medical Informatics and Clinical Epidemiology, Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA; chiangm{at}ohsu.edu
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Citation

Redd TK, Campbell JP, Brown JM for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium, et al
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity
British Journal of Ophthalmology 2019;103:580-584.

Publication history

  • Received August 31, 2018
  • Revised October 3, 2018
  • Accepted October 17, 2018
  • First published November 23, 2018.
Online issue publication 
May 06, 2022

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© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.2019