Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.

Journal: JAMA network open
Published Date: Nov 1, 2021

Abstract

IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owing to limited access.

Authors

  • Eli Ipp
    The Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California.
  • David Liljenquist
    Rocky Mountain Diabetes Center, Idaho Falls, Idaho.
  • Bruce Bode
    Atlanta Diabetes Associates, Atlanta, Georgia.
  • Viral N Shah
    Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Steven Silverstein
    Silverstein Eye Centers, Kansas City, Missouri.
  • Carl D Regillo
    Wills Eye Hospital, Thomas Jefferson University, Philadelphia, Pennsylvania.
  • Jennifer I Lim
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA.
  • Srinivas Sadda
    Doheny Eye Institute, Los Angeles, CA, 90033, USA.
  • Amitha Domalpally
    Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America.
  • Gerry Gray
    Data-Fi, LLC, Silver Spring, Maryland.
  • Malavika Bhaskaranand
    Eyenuk, Inc, Woodland Hills, California.
  • Chaithanya Ramachandra
    Eyenuk Inc, Los Angeles, California.
  • Kaushal Solanki
    Eyenuk, Inc, Woodland Hills, California.

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