Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI).

Journal: International journal of technology assessment in health care
Published Date: Oct 3, 2022

Abstract

OBJECTIVES: Artificial intelligence (AI) is seen as a major disrupting force in the future healthcare system. However, the assessment of the value of AI technologies is still unclear. Therefore, a multidisciplinary group of experts and patients developed a Model for ASsessing the value of AI (MAS-AI) in medical imaging. Medical imaging is chosen due to the maturity of AI in this area, ensuring a robust evidence-based model.

Authors

  • Iben Fasterholdt
    CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Sdr. Boulevard 29, Entrance 102, 4rd Floor, 5000, Odense C, Denmark. if@rsyd.dk.
  • Tue Kjølhede
    CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Sdr. Boulevard 29, Entrance 102, 4rd Floor, 5000, Odense C, Denmark.
  • Mohammad Naghavi-Behzad
    Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Thomas Schmidt
    Department for Clinical Research, Schüchtermann-Klinik Bad Rothenfelde, Germany.
  • Quinnie T S Rautalammi
    Department of IT Management and Information Security, Region of Southern Denmark, Vejle, Denmark.
  • Malene G Hildebrandt
    CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
  • Anne Gerdes
    Department of Design and Communication, University of Southern Denmark, Kolding, Denmark.
  • Astrid Barkler
    Patient representative, Odense University Hospital, Odense, Denmark.
  • Kristian Kidholm
    CIMT - Centre for Innovative Medical Technology, Odense University Hospital, Sdr. Boulevard 29, Entrance 102, 4rd Floor, 5000, Odense C, Denmark.
  • Valeria E Rac
    Program for Health System and Technology Evaluation, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
  • Benjamin S B Rasmussen
    Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

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