Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course

This Educational Perspective paper highlights an approach that could be considered to integrate AI in undergraduate radiography programmes. This approach demonstrates pedagogical considerations that ensure early exposure to AI and the development of essential practice skills. Early AI education can empower future radiographers to confidently engage with emerging technologies in clinical practice.

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Publication Details

Journal
Journal of medical imaging and radiation sciences
Published
2026-02-05
DOI
https://doi.org/10.1016/j.jmir.2026.102193
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course

Sibusiso Mdletshe, Beau Pontré, Alan Q. Wang
Journal of medical imaging and radiation sciences
Artificial Intelligence in Healthcare and Education
article

Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course

Sibusiso Mdletshe, Beau Pontré, Alan Q. Wang
article en

Abstract

This Educational Perspective paper highlights an approach that could be considered to integrate AI in undergraduate radiography programmes. This approach demonstrates pedagogical considerations that ensure early exposure to AI and the development of essential practice skills. Early AI education can empower future radiographers to confidently engage with emerging technologies in clinical practice.

Journal of medical imaging and radiation sciencesVol. 57(2)
University of Auckland (NZ)
Quality Education
Openalex Percentile: Top 67%
Artificial Intelligence in Healthcare and Education
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