Koch, G.G.V.De Clercq, A.R.Motiang, KhomotsoEssop, HafsaLamola, D.Khoza, T.E.Kekana, R. MableMuller, HenraHazell, Lynne JanetteVan de Venter, Riaan2025-11-172026-01Koch, 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.2025.102141.1939-8654 (print)1876-7982 (online)10.1016/j.jmir.2025.102141http://hdl.handle.net/2263/105317No abstract available.en© 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.Technological advancementsArtificial intelligence (AI)Medical imaging and radiation sciences (MIRS)UndergraduateCommentaryRecommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmesPostprint Article