Health AI Central
Peer-Reviewed Publication
Int J Retina Vitreous2025;11(1):75.July 6, 2025Journal Article

Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.

Virginia Mares1,2, Gregor S Reiter1, Aniel Feitosa2, Markus Gumpinger1, Hrvoje Bogunovic1, Ursula Schmidt-Erfurth3, Marcio B Nehemy2
1Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
2Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
3Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria. ursula.schmidt-erfurth@meduniwien.ac.at.
PubMed PMC DOI PDF

Abstract

OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI)-based fluid monitoring tool in optimizing the monitoring of neovascular age-related macular degeneration (nAMD) patients in a Brazilian cohort. METHODS: This is a retrospective real-world study performed in a tertiary center in Brazil, including patients with nAMD. Spectral-domain optical coherence tomography (Spectralis,…

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