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

Digital Health Reviews (1820) Applications of AI (343) Research Methodology - AI (48) Computer-Aided Diagnosis (278) Imaging Informatics (328) Machine Learning (2225)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81328, first published .
Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review

Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review

Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review

Authors of this article:

Nannan Shi1 Author Orcid Image ;   Jiaxian Li2 Author Orcid Image ;   Mengqiu Shang1 Author Orcid Image ;   Weidao Zhang1 Author Orcid Image ;   Kai Xu1 Author Orcid Image ;   Yamin Li1 Author Orcid Image ;   Lina Liang1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Liu Y, Liu H, Dong Y. Where age-related macular degeneration research is moving: Insights from a two-decade bibliometric study. Asian Journal of Surgery 2026 View
  2. Osa-Sanchez A, El-Baz A, Oleagordia-Ruiz I, Garcia-Zapirain B. Explainable Multimodal Foundational Models for Retinal Disease Stratification: A Robustness Study Across 15+ Heterogeneous Datasets. IEEE Access 2026;14:31567 View