Perception of medical imaging educators on the addition of AI education to the medical imaging curriculum: A cross-sectional survey

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dc.check.date2026-09-15en
dc.check.infoAccess to this article is restricted until 12 months after publication by request of the publisheren
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.funderSociety of Radiographersen
dc.contributor.funderCollege of Radiographersen
dc.date.accessioned2025-10-10T14:23:22Z
dc.date.available2025-10-10T14:23:22Z
dc.date.issued2025-09-15en
dc.description.abstractIntroduction: As one of the most technologically advanced fields in healthcare, it is unsurprising that artificial intelligence (AI) is significantly impacting medical imaging. The Health and Care Professions Councils (HCPC) updated Standards of Proficiency (SoP) require clinicians to demonstrate awareness of AI principles and their application in practice. Imaging curricula must be updated to ensure professionals meet these standards. This study explores medical imaging educators’ perspectives on AI education, examining their awareness, attitudes, and preparedness to deliver AI content. Methods: A survey was developed to assess the perceptions of academic educators in European medical imaging programmes. The survey was hosted online via the Joint Information Systems Committee (JISC) platform and included a mix of closed and open-ended questions. Convenience sampling was used to recruit attendees at the European Congress of Radiology (ECR) in Vienna in March 2023. Results: A total of 33 responses were received from across 14 countries. Respondents were from a diagnostic radiography background (n = 21) or dual-qualified (n = 12). Only 15.1 % (n = 5) had completed formal AI training. Self-reported preparedness levels indicated a low to moderate preparedness to deliver AI content. Mean AI awareness was 9.21 (of a possible 12), SD = 2.83. Conclusion: While medical imaging educators demonstrate relatively high AI awareness, their preparedness to deliver AI content remains low. Many expressed the need for greater support from higher education institutions (HEIs) to ensure staff are adequately equipped to integrate AI education into medical imaging curricula. Implications for practice: The gap between AI awareness and preparedness among medical imaging educators underscores the need for institutional support. HEIs should prioritise AI-focused and curriculum resources to better equip educators in integrating AI into medical imaging education, ensuring future radiographers develop essential AI competencies.en
dc.description.sponsorshipCollege of Radiographers Industry Partnerships Scheme (Grant number 229 (AI))en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid103153en
dc.identifier.citationDoherty, G., Hughes, C., McConnell, J., Bond, R., McLaughlin, L. and McFadden, S. (2025) 'Perception of medical imaging educators on the addition of AI education to the medical imaging curriculum: A cross-sectional survey', Radiography, 31(6), 103153 (9pp). https://doi.org/10.1016/j.radi.2025.103153en
dc.identifier.doi10.1016/j.radi.2025.103153en
dc.identifier.endpage9en
dc.identifier.issn1078-8174en
dc.identifier.issued6en
dc.identifier.journaltitleRadiographyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/18012
dc.identifier.volume31en
dc.language.isoenen
dc.publisherElsevier Ltd.en
dc.relation.ispartofRadiographyen
dc.rights© 2025, the College of Radiographers. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectAI educationen
dc.subjectMedical imaging curriculumen
dc.titlePerception of medical imaging educators on the addition of AI education to the medical imaging curriculum: A cross-sectional surveyen
dc.typeArticle (peer-reviewed)en
dc.typejournal-articleen
oaire.citation.issue6en
oaire.citation.volume31en
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