Recommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmes.
| Published in: | Journal of Medical Imaging & Radiation Sciences Vol. 57; no. 1 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Elsevier B.V.
Jan2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190694390&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190694390 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19398654 6BU7 jtl: Journal of Medical Imaging & Radiation Sciences issn: 19398654 maglogo: N pubinfo: dt: Jan2026 vid: 57 iid: 1 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 190694390 10.1016/j.jmir.2025.102141 190694390 ppct: 1 formats: tig: atl: Recommendations for artificial intelligence integration in South African undergraduate medical imaging and radiation sciences programmes. aug: au: Koch, G.G.V. de Clercq, A.R. Motiang, K. Essop, H. Lamola, D. Khoza, T.E. Kekana, R.M. Muller, H. Hazell, L.J. van de Venter, R. affil: Department of Medical Imaging and Therapeutic Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa sug: subj: Artificial Intelligence Students, Radiologic Technology South Africa Curriculum Development South Africa pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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