Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.

Journal: JAMA ophthalmology
Published Date:

Abstract

IMPORTANCE: Automated deep learning (DL) analyses of fundus photographs potentially can reduce the cost and improve the efficiency of reading center assessment of end points in clinical trials.

Authors

  • Rui Fan
    Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China.
  • Christopher Bowd
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla, California.
  • Mark Christopher
    Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, United States.
  • Nicole Brye
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla.
  • James A Proudfoot
    Department of Clinical Pharmacy (GJK, GR, AHT), Rady Children's Hospital San Diego, California, Department of Pediatrics (EC, AHT), University of California, San Diego, Clinical and Translational Research Institute (JAP), University of California, San Diego.
  • Jasmin Rezapour
    Hamilton Glaucoma Center, Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
  • Akram Belghith
    Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, United States.
  • Michael H Goldbaum
    Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California, United States.
  • Benton Chuter
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla.
  • Christopher A Girkin
    Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama.
  • Massimo A Fazio
    Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama.
  • Jeffrey M Liebmann
    Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, New York, New York.
  • Robert N Weinreb
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla, California.
  • Mae O Gordon
    Ophthalmology and Visual Sciences, Washington University School of Medicine in St Louis, St Louis, Missouri.
  • Michael A Kass
    Ophthalmology and Visual Sciences, Washington University School of Medicine in St Louis, St Louis, Missouri.
  • David Kriegman
    Department of Computer Science and Engineering, University of California, San Diego, La Jolla.
  • Linda M Zangwill
    Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, La Jolla, California.