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

Date

Authors

De Clercq, A.R.

Motiang, Khomotso

Kekana, R. Mable

Hazell, Lynne Janette

Van de Venter, Riaan

Publisher

Elsevier

Abstract

No abstract available.

Keywords

Technological advancements, Artificial intelligence (AI), Medical imaging and radiation sciences (MIRS), Undergraduate, Commentary

Sustainable Development Goals

SDG-03: Good health and well-being
SDG-04: Quality Education

Citation

Koch, 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.

URI

http://hdl.handle.net/2263/105317

Collections

Research Articles (Radiography)
Research Articles (University of Pretoria)