Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57292, first published .
Evaluation of Artificial Intelligence Algorithms for Diabetic Retinopathy Detection: Protocol for a Systematic Review and Meta-Analysis

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

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

Jaime Angeles Sesgundo III   1 * , BA, BS ;   David Collin Maeng   1 * , BA ;   Jumelle Aubrey Tukay   2 , BS ;   Maria Patricia Ascano   3 , BS, MS ;   Justine Suba-Cohen   4 , MS, DO ;   Virginia Sampang   5 , MD

1 Office of Medical Research, University of Nevada, Reno School of Medicine, Reno, NV, United States

2 Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, United States

3 College of Osteopathic Medicine, Touro University Nevada, Henderson, NV, United States

4 Graduate Medical Education Consortium, Valley Health System, Las Vegas, NV, United States

5 Department of Family & Community Medicine, Penn State College of Medicine, Hershey, PA, United States

*these authors contributed equally

Corresponding Author:

  • Jaime Angeles Sesgundo III, BA, BS
  • Office of Medical Research
  • University of Nevada, Reno School of Medicine
  • 1664 N. Virginia St
  • Reno, NV, 89557
  • United States
  • Phone: 1 7757841110
  • Email: jsesgundo@med.unr.edu