Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.

Journal: Translational vision science & technology
Published Date:

Abstract

PURPOSE: Real-world evaluation of a deep learning model that prioritizes patients based on risk of progression to moderate or worse (MOD+) diabetic retinopathy (DR).

Authors

  • Ashish Bora
    Google Health, Google LLC, Mountain View, California.
  • Richa Tiwari
    Work done at Google via Optimum Solutions Pte Ltd, Singapore.
  • Pinal Bavishi
    Google Health, Google, Mountain View, CA, USA.
  • Sunny Virmani
    Verily Life Sciences LLC, South San Francisco, California, USA.
  • Rayman Huang
    Google Health, Palo Alto, CA, USA.
  • Ilana Traynis
    Google Health via Advanced Clinical, Deerfield, IL, USA.
  • Greg S Corrado
    Google Health, Palo Alto, CA USA.
  • Lily Peng
    Google Inc, Mountain View, California.
  • Dale R Webster
    Google Inc, Mountain View, California.
  • Avinash V Varadarajan
    Google Research, Google, Mountain View, CA, USA.
  • Warisara Pattanapongpaiboon
    Department of Ophthalmology, Rajavithi Hospital, Bangkok, Thailand.
  • Reena Chopra
    NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.