Artificial intelligence in radiology: 173 commercially available products and their scientific evidence.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To assess changes in peer-reviewed evidence on commercially available radiological artificial intelligence (AI) products from 2020 to 2023, as a follow-up to a 2020 review of 100 products.

Authors

  • Noa Antonissen
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Olga Tryfonos
    ITU/WHO Focus Group AI on Health, Topic Group Dentistry, Switzerland; Department of Periodontology and Oral Biochemistry, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherland.
  • Ignas B Houben
    Department of Medical Imaging, Isala, The Netherlands.
  • Colin Jacobs
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Maarten de Rooij
    Department of Medical Imaging, Radboud university medical center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Kicky G van Leeuwen
    Department of Medical Imaging, Radboud university medical center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands. kicky.vanleeuwen@radboudumc.nl.

Keywords

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