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Rainey, C., McLaughlin, L., England, A. , Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S. L. & Woznitza, N.view all authors (2026). Generative AI and large language models in radiography education: Possibilities, obstacles, and expectations for academic staff. Journal of Medical Imaging and Radiation Sciences, 57(4), article number 102435. doi: 10.1016/j.jmir.2026.102435

Publication Type:	Article
Additional Information:	© 2026 Published by Elsevier Inc. on behalf of Canadian Association of Medical Radiation Technologists. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords:	Artifical intelligence, Radiography education, Large language models, Generative AI, Higher education, Students
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Departments:	School of Health & Medical Sciences School of Health & Medical Sciences > Department of Allied Health
SWORD Depositor:	Symplectic Administrator

Text - Accepted Version
This document is not freely accessible until 1 May 2027 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Official URL: https://doi.org/10.1016/j.jmir.2026.102435

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