Evaluating the efficacy of AI systems in diabetic retinopathy detection: A comparative analysis of Mona DR and IDx-DR.

Journal: Acta ophthalmologica
Published Date: Dec 10, 2024

Abstract

PURPOSE: To compare two artificial intelligence (AI)-based Automated Diabetic Retinopathy Image Assessment (ARIA) softwares in terms of concordance with specialist human graders and referable diabetic retinopathy (DR) diagnostic capacity.

Authors

  • Andrzej Grzybowski
    Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.
  • Freya Peeters
    Department of Ophthalmology, University Hospitals UZ Leuven, Leuven, Belgium.
  • Rafael Correia Barão
    Department of Ophthalmology, Hospital de Santa Maria, ULSSM, Lisbon, Portugal.
  • Piotr Brona
    Department of Ophthalmology, Poznan City Hospital, Poznan, Poland.
  • Stef Rommes
    MONA Health, Leuven, Belgium.
  • Tomasz Krzywicki
    Department of Mathematical Methods of Informatics, University of Warmia and Mazury, Olsztyn, Poland.
  • Ingeborg Stalmans
    Research Group Ophthalmology, KU Leuven, Kapucijnenvoer 33, 3000 Leuven, Belgium.
  • Julie Jacob
    Ophthalmology Department, UZ Leuven, Herestraat 49, 3000 Leuven, Belgium.

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