Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Journal: JAMA
Published Date:

Abstract

IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation.

Authors

  • Varun Gulshan
    Google Inc, Mountain View, California.
  • Lily Peng
    Google Inc, Mountain View, California.
  • Marc Coram
    Google Inc, Mountain View, California.
  • Martin C Stumpe
    Google Health, Palo Alto, CA USA.
  • Derek Wu
    Google Inc, Mountain View, California.
  • Arunachalam Narayanaswamy
    Google Inc, Mountain View, California.
  • Subhashini Venugopalan
    Google Inc, Mountain View, California2Department of Computer Science, University of Texas, Austin.
  • Kasumi Widner
    Google Inc, Mountain View, California.
  • Tom Madams
    Google Inc, Mountain View, California.
  • Jorge Cuadros
    EyePACS LLC, San Jose, California4School of Optometry, Vision Science Graduate Group, University of California, Berkeley.
  • Ramasamy Kim
    Aravind Medical Research Foundation, Aravind Eye Care System, Madurai, India.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Philip C Nelson
    Google Inc, Mountain View, California.
  • Jessica L Mega
    Verily Life Sciences, Mountain View, California8Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Dale R Webster
    Google Inc, Mountain View, California.