Integrating AI into medical imaging curricula: insights from UK HEIs

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dc.contributor.authorDoherty, G.en
dc.contributor.authorHughes, C.en
dc.contributor.authorMcConnell, J.en
dc.contributor.authorBond, R.en
dc.contributor.authorMcLaughlin, Lauraen
dc.contributor.authorMcFadden, S.en
dc.contributor.funderNorthern Ireland Department for Economyen
dc.contributor.funderSociety of Radiographersen
dc.contributor.funderCollege of Radiographersen
dc.date.accessioned2025-05-13T08:54:24Z
dc.date.available2025-05-13T08:54:24Z
dc.date.issued2025en
dc.description.abstractIntroduction: 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.en
dc.description.sponsorshipCollege of Radiographers (Industry Partnerships Scheme grant number 229 (AI))en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid102957en
dc.identifier.citationDoherty, G., Hughes, C., McConnell, J., Bond, R., McLaughlin, L. and McFadden, S. (2025) 'Integrating AI into medical imaging curricula: Insights from UK HEIs', Radiography, 31(3), 102957 (7pp). DOI: 10.1016/j.radi.2025.102957en
dc.identifier.doi10.1016/j.radi.2025.102957en
dc.identifier.issn10788174en
dc.identifier.issued3
dc.identifier.journaltitleRadiographyen
dc.identifier.urihttps://hdl.handle.net/10468/17449
dc.identifier.volume31
dc.language.isoenen
dc.publisherW.B. Saunders Ltden
dc.rights© 2025, the Author(s). Published by Elsevier Ltd on behalf of The College of Radiographers. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAIen
dc.subjectArtificial intelligenceen
dc.subjectCurriculumen
dc.subjectEducationen
dc.subjectPostgraduateen
dc.subjectUndergraduateen
dc.titleIntegrating AI into medical imaging curricula: insights from UK HEIsen
dc.typeArticle (peer reviewed)en
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