Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).

Journal: European radiology
Published Date: Jan 18, 2023

Abstract

OBJECTIVES: Only few published artificial intelligence (AI) studies for COVID-19 imaging have been externally validated. Assessing the generalizability of developed models is essential, especially when considering clinical implementation. We report the development of the International Consortium for COVID-19 Imaging AI (ICOVAI) model and perform independent external validation.

Authors

  • Laurens Topff
    Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
  • Kevin B W Groot Lipman
    Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Frederic Guffens
    Department of Radiology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
  • Rianne Wittenberg
    Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
  • Annemarieke Bartels-Rutten
    Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066, CX, Amsterdam, The Netherlands.
  • Gerben van Veenendaal
    Aidence, Amsterdam, The Netherlands.
  • Mirco Hess
    Aidence, Amsterdam, The Netherlands.
  • Kay Lamerigts
    Aidence, Amsterdam, The Netherlands.
  • Joris Wakkie
    Aidence, Amsterdam, The Netherlands.
  • Erik Ranschaert
    Netherlands Cancer Institute, Amsterdam, the Netherlands.
  • Stefano Trebeschi
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Jacob J Visser
    Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Regina G H Beets-Tan
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.

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