The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus.

Journal: Current opinion in ophthalmology
Published Date:

Abstract

PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.

Authors

  • Carla Danese
    Department of Medicine - Ophthalmology, University of Udine.
  • Aditya U Kale
    Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
  • 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.
  • Paolo Lanzetta
    Department of Medicine - Ophthalmology, University of Udine.
  • Jane Barratt
    International Federation on Ageing, Toronto, Canada.
  • Yu-Bai Chou
    Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • 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.