Integrating AI into medical imaging curricula: Insights from UK HEIs.

Journal: Radiography (London, England : 1995)
Published Date:

Abstract

INTRODUCTION: With artificial intelligence (AI) becoming increasingly integrated into medical imaging, the Health and Care Professions Council (HCPC) updated its Standards of Proficiency for Radiographers in Autumn 2023. These changes require clinicians to be both competent and confident in operating AI and related technologies within their role. Responsibility for meeting these standards extends beyond individual clinicians to higher education institutions (HEIs), which play a crucial role in preparing future professionals. This study examines the current and planned provision of AI education for medical imaging students and staff, identifying potential challenges in its implementation.

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.
  • 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.
  • L McLaughlin
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • S McFadden
    School of Health Sciences, Ulster University, Belfast, Northern Ireland, BT37OQB, UK.