Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

Journal: Radiography (London, England : 1995)
Published Date: May 24, 2025

Abstract

INTRODUCTION: The adoption of artificial intelligence (AI) is gaining increased interest in medical imaging. However, most medical imaging students in Ghana do not receive training on AI as part of their education. This study aimed to evaluate the effect of a tailored classroom-based medical imaging AI educational intervention in Ghana.

Authors

  • A Donkor
    Department of Medical Imaging, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; IMPACCT (Improving Palliative, Aged and Chronic Care Through Clinical Research and Translation), Faculty of Health, University of Technology Sydney, Australia. Electronic address: Andrew.Donkor@knust.edu.gh.
  • E Boakye
    Department of Medical Imaging, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  • P Atuanor
    Department of Medical Imaging, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  • Y A Wiafe
    Department of Medical Imaging, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Keywords

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