Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Riaan van de Venter; Emily Skelton; Jacqueline Matthew; Nick Woznitza; Giacomo Tarroni; Shashivadan P. Hirani; Amrita Kumar; Rizwan Malik; Christina Malamateniou

doi:10.1186/s13244-023-01372-2

Insights into Imaging (Feb 2023)

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Riaan van de Venter,
Emily Skelton,
Jacqueline Matthew,
Nick Woznitza,
Giacomo Tarroni,
Shashivadan P. Hirani,
Amrita Kumar,
Rizwan Malik,
Christina Malamateniou

Affiliations

Riaan van de Venter: Department of Radiography, Faculty of Health Sciences, School of Clinical Care Sciences, Nelson Mandela University
Emily Skelton: Division of Midwifery and Radiography, School of Health and Psychological Sciences, City, University of London
Jacqueline Matthew: Department of Perinatal Imaging and Health, King’s College London
Nick Woznitza: Radiology Department, University College London Hospitals
Giacomo Tarroni: Cit-AI, Department of Computer Science, City, University of London
Shashivadan P. Hirani: Centre for Healthcare Innovation Research, City, University of London
Amrita Kumar: Frimley Health NHS Foundation Trust
Rizwan Malik: Division of Midwifery and Radiography, School of Health and Psychological Sciences, City, University of London
Christina Malamateniou: Division of Midwifery and Radiography, School of Health and Psychological Sciences, City, University of London

DOI: https://doi.org/10.1186/s13244-023-01372-2
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 13

Abstract

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Key points A novel postgraduate module on AI for radiographers was developed and evaluated. Blended-learning delivery, customisable and contextualised course content, and interprofessional faculty are the ways forward for an ideal AI course for radiographers. Future courses could use this approach to develop their own AI training.

Published in Insights into Imaging

ISSN: 1869-4101 (Online)
Publisher: SpringerOpen
Country of publisher: Germany
LCC subjects: Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine
Website: http://www.springer.com/13244

About the journal

Abstract

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