Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.

Journal: The Lancet. Digital health
Published Date: Apr 1, 2022

Abstract

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness, especially in low-income and middle-income countries (LMICs). Deep-learning systems have the potential to enhance diabetic retinopathy screenings in these settings, yet prospective studies assessing their usability and performance are scarce.

Authors

  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.
  • Richa Tiwari
    Work done at Google via Optimum Solutions Pte Ltd, Singapore.
  • Rory Sayres
    Google Research, Google, LLC, Mountain View, California.
  • Variya Nganthavee
    Department of Ophthalmology, College of Medicine, Rangsit University, Rajavithi Hospital, Bangkok, Thailand.
  • Kornwipa Hemarat
    Department of Ophthalmology, Vajira Hospital, Bangkok, Thailand.
  • Apinpat Kongprayoon
    Department of Ophthalmology, Nakornping Hospital, Chiang Mai, Thailand.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Brian Levinstein
    Verily Life Sciences, South San Francisco, CA, USA; Noom, New York, NY, USA.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Mike Schaekermann
    Google Health, Google LLC, Mountain View, California.
  • Roy Lee
    Google Health, Palo Alto, CA, USA.
  • Sunny Virmani
    Verily Life Sciences LLC, South San Francisco, California, USA.
  • Kasumi Widner
    Google Inc, Mountain View, California.
  • John Chambers
    Lee Kong Chian School of Medicine, Mandalay Road, Singapore; Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
  • Fred Hersch
    Google Health, Palo Alto, CA, USA.
  • Lily Peng
    Google Inc, Mountain View, California.
  • Dale R Webster
    Google Inc, Mountain View, California.

Keywords

External Resources

Popular Topics
Recent Journals