Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus.

Journal: Current opinion in ophthalmology
Published Date:

Abstract

PURPOSE OF REVIEW: The application of artificial intelligence (AI) technologies in screening and diagnosing retinal diseases may play an important role in telemedicine and has potential to shape modern healthcare ecosystems, including within ophthalmology.

Authors

  • Yu-Bai Chou
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Aditya U Kale
    Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • Paolo Lanzetta
    Department of Medicine - Ophthalmology, University of Udine.
  • Tariq Aslam
    Manchester Royal Eye Hospital, Oxford Road, Manchester M13 9WL, United Kingdom; School of Health Sciences, University of Manchester, Oxford Road, Manchester M139PL, United Kingdom. Electronic address: tariq.aslam@manchester.ac.uk.
  • Jane Barratt
    International Federation on Ageing, Toronto, Canada.
  • Carla Danese
    Department of Medicine - Ophthalmology, University of Udine.
  • Bora Eldem
    Department of Ophthalmology, Hacettepe University, Ankara, Turkey.
  • Nicole Eter
    Department of Ophthalmology, University of Muenster Medical Center, Domagkstraße 15, 48149, Muenster, Germany.
  • Richard Gale
    Department of Ophthalmology, York Teaching Hospital NHS Foundation Trust, York, UK.
  • Jean-François Korobelnik
    Bordeaux Population Health Research Center, Inserm, Université de Bordeaux, Bordeaux, France; Department of Ophthalmology, Bordeaux University Hospital, Bordeaux, France.
  • Igor Kozak
    Moorfields Eye Hospital Centre, Abu Dhabi, UAE.
  • Xiaorong Li
    Beijing StoneWise Technology Co Ltd., Haidian District, Beijing, China.
  • Xiaoxin Li
    Basic Experimental Center of Natural Science, University of Science and Technology Beijing, Beijing 100083, P. R. China.
  • Anat Loewenstein
    Department of Ophthalmology, Tel Aviv Medical Centre, Israel.
  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.
  • Taiji Sakamoto
    Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. tsakamot@m3.kufm.kagoshima-u.ac.jp.
  • Daniel S W Ting
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.
  • Peter van Wijngaarden
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, VIC.
  • Sebastian M Waldstein
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • David Wong
    Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
  • Lihteh Wu
    Asociados de Mácula, Vítreo y Retina de Costa Rica, San José, Costa Rica.
  • Miguel A Zapata
    Ophthalmology Department, Hospital Vall d'Hebron.
  • Javier Zarranz-Ventura
    Institut Clínic d'Oftalmologia, Hospital Clínic de Barcelona, Barcelona, Spain.