Professionals' responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study.

Journal: BMC health services research
Published Date: Aug 14, 2021

Abstract

BACKGROUND: Artificial Intelligence (AI) innovations in radiology offer a potential solution to the increasing demand for imaging tests and the ongoing workforce crisis. Crucial to their adoption is the involvement of different professional groups, namely radiologists and radiographers, who work interdependently but whose perceptions and responses towards AI may differ. We aim to explore the knowledge, awareness and attitudes towards AI amongst professional groups in radiology, and to analyse the implications for the future adoption of these technologies into practice.

Authors

  • Yaru Chen
    Centre for Healthcare Innovation Research, City, University of London, London, UK.
  • Charitini Stavropoulou
    Centre for Healthcare Innovation Research, City, University of London, London, UK.
  • Radhika Narasinkan
    Centre for Healthcare Innovation Research, City, University of London, London, UK.
  • Adrian Baker
    Centre for Healthcare Innovation Research, City, University of London, London, UK.
  • Harry Scarbrough
    Centre for Healthcare Innovation Research, City, University of London, London, UK. harry.scarbrough.1@city.ac.uk.

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