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

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

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...

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Bibliographic Details
Main Authors: Virginia Mares, Gregor S. Reiter, Aniel Feitosa, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Marcio B. Nehemy
Format: Article
Language:English
Published: BMC 2025-07-01
Series:International Journal of Retina and Vitreous
Subjects:
Anti-VEGF therapy
Artificial intelligence
Biomarker detection
Deep learning
Disease activity prediction
Multimodal retinal imaging
Online Access:https://doi.org/10.1186/s40942-025-00695-0
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