How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: We aimed to systematically analyse how the radiology community discusses the concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations.

Authors

  • Bomi Kim
    KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, VU Main Building A-wing, 5th Floor, 1081 HV, Amsterdam, the Netherlands. Electronic address: b.kim@vu.nl.
  • Isabel Koopmanschap
    Department of Anthropology, Faculty of Social and Behavioral Sciences, University of Amsterdam, Roeterseiland Campus, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, the Netherlands. Electronic address: i.koopmanschap@uva.nl.
  • Mohammad H Rezazade Mehrizi
    KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, the Netherlands. Electronic address: m.rezazademehrizi@vu.nl.
  • Marleen Huysman
    KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, the Netherlands. Electronic address: m.h.huysman@vu.nl.
  • Erik Ranschaert
    Netherlands Cancer Institute, Amsterdam, the Netherlands.