Recommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmes

dc.contributor.authorKoch, G.G.V.
dc.contributor.authorDe Clercq, A.R.
dc.contributor.authorMotiang, Khomotso
dc.contributor.authorEssop, Hafsa
dc.contributor.authorLamola, D.
dc.contributor.authorKhoza, T.E.
dc.contributor.authorKekana, R. Mable
dc.contributor.authorMuller, Henra
dc.contributor.authorHazell, Lynne Janette
dc.contributor.authorVan de Venter, Riaan
dc.contributor.emailhafsa.essop@up.ac.za
dc.date.accessioned2025-11-17T13:07:08Z
dc.date.issued2026-01
dc.description.abstractNo abstract available.
dc.description.departmentRadiography
dc.description.embargo2026-11-08
dc.description.librarianhj2025
dc.description.sdgSDG-03: Good health and well-being
dc.description.sdgSDG-04: Quality Education
dc.description.urihttp://www.elsevier.com/locate/jmir
dc.identifier.citationKoch, G.G.V., De Clercq, A.R., Motiang, K. et al. 2026, 'Recommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmes', Journal of Medical Imaging and Radiation Sciences, vol. 57, no. 1, art. 102141, pp. 1-7, doi : 10.1016/j.jmir.2025.102141.
dc.identifier.issn1939-8654 (print)
dc.identifier.issn1876-7982 (online)
dc.identifier.other10.1016/j.jmir.2025.102141
dc.identifier.urihttp://hdl.handle.net/2263/105317
dc.language.isoen
dc.publisherElsevier
dc.rights© 2025 Published by Elsevier Inc. on behalf of Canadian Association of Medical Radiation Technologists. Notice : this is the author’s version of a work that was accepted for publication in Journal of Medical Imaging and Radiation Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Medical Imaging and Radiation Sciences, vol. 57, no. 1, art. 102141, pp. 1-7, doi : 10.1016/j.jmir.2025.102141.
dc.subjectTechnological advancements
dc.subjectArtificial intelligence (AI)
dc.subjectMedical imaging and radiation sciences (MIRS)
dc.subjectUndergraduate
dc.subjectCommentary
dc.titleRecommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmes
dc.typePostprint Article

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (Radiography)
Research Articles (University of Pretoria)
Simple item page