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

Journal: International journal of retina and vitreous
Published Date: Jul 6, 2025

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.

Authors

  • Virginia Mares
    Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Gregor S Reiter
    Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. gregor.reiter@meduniwien.ac.at.
  • Aniel Feitosa
    Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  • Markus Gumpinger
    Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Hrvoje Bogunović
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • Ursula Schmidt-Erfurth
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • Marcio B Nehemy
    Department of Ophthalmology, Federal University of Minas Gerais, Belo Horizonte, Brazil.

Keywords

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