A scoping review of educational programmes on artificial intelligence (AI) available to medical imaging staff.

Journal: Radiography (London, England : 1995)
Published Date: Jan 12, 2024

Abstract

INTRODUCTION: Medical imaging is arguably the most technologically advanced field in healthcare, encompassing a range of technologies which continually evolve as computing power and human knowledge expand. Artificial Intelligence (AI) is the next frontier which medical imaging is pioneering. The rapid development and implementation of AI has the potential to revolutionise healthcare, however, to do so, staff must be competent and confident in its application, hence AI readiness is an important precursor to AI adoption. Research to ascertain the best way to deliver this AI-enabled healthcare training is in its infancy. The aim of this scoping review is to compare existing studies which investigate and evaluate the efficacy of AI educational interventions for medical imaging staff.

Authors

  • G Doherty
    Ulster University, School of Health Sciences, Faculty of Life and Health Sciences, Shore Road, Newtownabbey, Northern Ireland, United Kingdom. Electronic address: doherty-g49@ulster.ac.uk.
  • L McLaughlin
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • C Hughes
    Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: christopher.hughes@christie.nhs.uk.
  • J McConnell
    Leeds Teaching Hospitals NHS Trust, United Kingdom.
  • R Bond
    Ulster University, Jordanstown Campus, Shore Rd, Newtownabbey BT37 0QB, Northern Ireland, UK.
  • S McFadden
    School of Health Sciences, Ulster University, Belfast, Northern Ireland, BT37OQB, UK.

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