Evaluation of Artificial Intelligence Algorithms for Diabetic Retinopathy Detection: Protocol for a Systematic Review and Meta-Analysis.

Journal: JMIR research protocols
Published Date: May 27, 2024

Abstract

BACKGROUND: Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus. The global burden is immense with a worldwide prevalence of 8.5%. Recent advancements in artificial intelligence (AI) have demonstrated the potential to transform the landscape of ophthalmology with earlier detection and management of DR.

Authors

  • Jaime Angeles Sesgundo Iii
    Office of Medical Research, University of Nevada, Reno School of Medicine, Reno, NV, United States.
  • David Collin Maeng
    Office of Medical Research, University of Nevada, Reno School of Medicine, Reno, NV, United States.
  • Jumelle Aubrey Tukay
    Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, United States.
  • Maria Patricia Ascano
    College of Osteopathic Medicine, Touro University Nevada, Henderson, NV, United States.
  • Justine Suba-Cohen
    Graduate Medical Education Consortium, Valley Health System, Las Vegas, NV, United States.
  • Virginia Sampang
    Department of Family & Community Medicine, Penn State College of Medicine, Hershey, PA, United States.

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