Integrating AI into medical imaging curricula: Insights from UK HEIs

Doherty, G.; Hughes, C.; McConnell, J.; Bond, R.; McLaughlin, L.; McFadden, S.

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.

Methods
An electronic survey was developed and hosted on the Joint Information Systems Committee (JISC) platform. It was disseminated in April 2023 by the Society of Radiographers to UK HEIs offering medical imaging programmes.

Results
24 HEIs responded, with representation from all four UK nations. Of these, 71 % (n = 17) had already integrated AI into their curriculum. Reported challenges included timetabling constraints and the need to upskill staff. 21 % (n = 5) indicated that AI would be incorporated following course revalidation in the 2024/25 academic year, while the remaining two HEIs were unaware of planned changes.

Conclusion
Most UK HEIs have begun integrating AI education into medical imaging programmes. However, significant disparities exist in the depth and scope of AI content across institutions. Further efforts are needed to develop a comprehensive and standardised AI curriculum for medical imaging in the UK.

Implications for practice
This study highlights key areas for improvement in AI education within medical imaging programmes. Further research into content and delivery methods is essential to ensure radiography professionals adequately equipped to navigate the evolving clinical environment.

• Journal Article Type: Article
• Acceptance Date: Apr 4, 2025
• Online Publication Date: Apr 24, 2025
• Publication Date: 2025-05
• Deposit Date: May 9, 2025
• Publicly Available Date: May 9, 2025
• Journal: Radiography
• Print ISSN: 1078-8174
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 3
• Article Number: 102957
• DOI: https://doi.org/10.1016/j.radi.2025.102957