Predicting the risk of developing diabetic retinopathy using deep learning.

Journal: The Lancet. Digital health
Published Date:

Abstract

BACKGROUND: Diabetic retinopathy screening is instrumental to preventing blindness, but scaling up screening is challenging because of the increasing number of patients with all forms of diabetes. We aimed to create a deep-learning system to predict the risk of patients with diabetes developing diabetic retinopathy within 2 years.

Authors

  • Ashish Bora
    Google Health, Google LLC, Mountain View, California.
  • Siva Balasubramanian
    Advanced Clinical, Deerfield, IL, USA.
  • Boris Babenko
    Google Health, Google, Mountain View, CA, USA.
  • Sunny Virmani
    Verily Life Sciences LLC, South San Francisco, California, USA.
  • Subhashini Venugopalan
    Google Inc, Mountain View, California2Department of Computer Science, University of Texas, Austin.
  • Akinori Mitani
    Artera, Inc., Los Altos, CA.
  • Guilherme de Oliveira Marinho
    Adecco Staffing, Santa Clara, CA, USA.
  • Jorge Cuadros
    EyePACS LLC, San Jose, California4School of Optometry, Vision Science Graduate Group, University of California, Berkeley.
  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.
  • 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.
  • Naama Hammel
    Google Research, Google, LLC, Mountain View, California.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Pinal Bavishi
    Google Health, Google, Mountain View, CA, USA.