Diabetic Retinopathy Screening Using Smartphone-Based Fundus Photography and Deep-Learning Artificial Intelligence in the Yucatan Peninsula: A Field Study.

Journal: Journal of diabetes science and technology
Published Date: Aug 29, 2023

Abstract

BACKGROUND: To compare the performance of Medios (offline) and EyeArt (online) artificial intelligence (AI) algorithms for detecting diabetic retinopathy (DR) on images captured using fundus-on-smartphone photography in a remote outreach field setting.

Authors

  • John J Wroblewski
    Retina Care International, Hagerstown, MD, USA.
  • Ermilo Sanchez-Buenfil
    RetimediQ, Mérida, Mexico.
  • Miguel Inciarte
    RetimediQ, Mérida, Mexico.
  • Jay Berdia
    Cumberland Valley Retina Consultants, Hagerstown, MD, USA.
  • Lewis Blake
    Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO, USA.
  • Simon Wroblewski
    Cumberland Valley Retina Consultants, Hagerstown, MD, USA.
  • Alexandria Patti
    Cumberland Valley Retina Consultants, Hagerstown, MD, USA.
  • Gretchen Suter
    Cumberland Valley Retina Consultants, Hagerstown, MD, USA.
  • George E Sanborn
    Department of Ophthalmology, Virginia Commonwealth University, Richmond, VA, USA.

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