This paper is in the following e-collection/theme issue:

Systematic Review Protocols (335) Digital Health Reviews (1724) mHealth for Screening (296) Artificial Intelligence (2129) Diabetes (259) Decision Support for Health Professionals (1539) Computer-Aided Diagnosis (251) Diabetic Retinopathy (18)

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

Authors of this article:

Jaime Angeles Sesgundo III1 Author Orcid Image ;   David Collin Maeng1 Author Orcid Image ;   Jumelle Aubrey Tukay2 Author Orcid Image ;   Maria Patricia Ascano3 Author Orcid Image ;   Justine Suba-Cohen4 Author Orcid Image ;   Virginia Sampang5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Ali S, Yang X, Masood S, Ghazanfar Z, Jung Y, Chen T, Wang X. Revolutionizing diabetic retinopathy and macular edema management: a systematic review on the transformative potential of artificial intelligence. The Visual Computer 2025 View
  2. Azzolini C, Boscher C, Capone A, Donati S, Falco A, Oggionni F, Loewenstein A, Paolucci U. Inclusive and accessible implementation of telemedicine: Insights from the United Nations international expert roundtable. Health Informatics Journal 2025;31(3) View

Books/Policy Documents

  1. Meenakshi G, Sudharsan M, Prakash K. Proceedings of International Conference on Recent Trends in Computing. View