Deep learning versus ophthalmologists for screening for glaucoma on fundus examination: A systematic review and meta-analysis.

Journal: Clinical & experimental ophthalmology
Published Date:

Abstract

BACKGROUND: In this systematic review and meta-analysis, we aimed to compare deep learning versus ophthalmologists in glaucoma diagnosis on fundus examinations.

Authors

  • Mathieu Buisson
    CHU Clermont-Ferrand, Ophthalmology, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.
  • Valentin Navel
    CHU Clermont-Ferrand, Ophthalmology, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.
  • Antoine Labbé
    Department of Ophthalmology III, Quinze-Vingts National Ophthalmology Hospital, IHU FOReSIGHT, Paris, France.
  • Stephanie L Watson
    Save Sight Institute, Discipline of Ophthalmology, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Julien S Baker
    Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
  • Patrick Murtagh
    Department of Ophthalmology, Royal Victoria Eye and Ear Hospital, Dublin, Ireland.
  • Frédéric Chiambaretta
    CHU Clermont-Ferrand, Ophthalmology, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.
  • Frédéric Dutheil
    Université Clermont Auvergne, CNRS, LaPSCo, Physiological and psychosocial stress, University Hospital of Clermont-Ferrand, CHU Clermont-Ferrand, Preventive and Occupational Medicine, WittyFit, F-63000 Clermont-Ferrand, France; Australian Catholic University, Faculty of Health, Melbourne, Victoria, Australia.