A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?
Introduction The impact of artificial intelligence (AI) on the radiography profession remains uncertain. Although AI has been increasingly used in clinical radiography, the perspectives of the radiography professionals in Nordic countries have yet to be examined. The primary aim was to examine views...
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Elsevier BV
2024
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Online Access: | https://openaccess.city.ac.uk/id/eprint/32991/ https://openaccess.city.ac.uk/id/eprint/32991/3/1-s2.0-S107881742400097X-main.pdf https://doi.org/10.1016/j.radi.2024.04.020 |
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ftcityunivlondon:oai:openaccess.city.ac.uk:32991 2024-06-23T07:53:25+00:00 A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? Pedersen, M. R. V. Kusk, M. W. Lysdahlgaard, S. Mork-Knudsen, H. Malamateniou, C. Jensen, J. 2024-07-31 text https://openaccess.city.ac.uk/id/eprint/32991/ https://openaccess.city.ac.uk/id/eprint/32991/3/1-s2.0-S107881742400097X-main.pdf https://doi.org/10.1016/j.radi.2024.04.020 en eng Elsevier BV https://openaccess.city.ac.uk/id/eprint/32991/3/1-s2.0-S107881742400097X-main.pdf Pedersen, M. R. V., Kusk, M. W., Lysdahlgaard, S. , Mork-Knudsen, H., Malamateniou, C. https://openaccess.city.ac.uk/view/creators_id/christina=2Emalamateniou.html orcid:0000-0002-2352-8575 orcid:0000-0002-2352-8575 Jensen, J.view all authorsEPJS_limit_names_shown_load( 'creators_name_32991_et_al', 'creators_name_32991_rest' ); (2024). A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?. Radiography, 30(4), pp. 1106-1115. doi:10.1016/j.radi.2024.04.020 https://doi.org/10.1016/j.radi.2024.04.020 doi:10.1016/j.radi.2024.04.020 cc_by_4 QA75 Electronic computers. Computer science RC Internal medicine Article PeerReviewed 2024 ftcityunivlondon https://doi.org/10.1016/j.radi.2024.04.020 2024-05-31T03:36:29Z Introduction The impact of artificial intelligence (AI) on the radiography profession remains uncertain. Although AI has been increasingly used in clinical radiography, the perspectives of the radiography professionals in Nordic countries have yet to be examined. The primary aim was to examine views of Nordic radiographers ‘on AI, with focus on perspectives, engagement, and knowledge of AI. Methods Radiographers from Denmark, Norway, Sweden, Iceland, Greenland, and the Faroe Island were invited through social media platforms to participate in an online survey from March to June 2023. The survey encompassed 29-items and included 4 sections a) demographics, b) barriers and enablers on AI, c) perspectives and experiences of AI and d) knowledge of AI in radiography. Edgars Schein's model of organizational culture was employed to analyse Nordic radiographers' perspectives on AI. Results Overall, a total of 421 respondents participated in the survey. A majority were positive/somewhat positive towards AI in radiography e.g., 77.9 % (n = 342) thought that AI would have a positive effect on the profession, and 26% thought that AI would reduce the administrative workload. Most radiographers agreed or strongly agreed that clinicians may have access to AI generated reports (76.8 %, n = 297). Nevertheless, a total of 86 (20.1%) agree or somewhat agreed that AI a potential risk for radiography. Conclusion Nordic radiographers are generally positive towards AI, yet uncertainties regarding its implementation persist. The findings underscore the importance of understanding these challenges for the responsible integration of AI systems. Carefully weighing the expected influence of AI against key incentives will support a seamless integration of AI for the benefit not just of the patients, but also of the radiography profession. Implications for practice Understanding incentives factors and barriers can help address uncertainties during implementation of AI in clinical practice. Article in Journal/Newspaper Greenland Iceland City University London: City Research Online Greenland Norway Radiography 30 4 1106 1115 |
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City University London: City Research Online |
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ftcityunivlondon |
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English |
topic |
QA75 Electronic computers. Computer science RC Internal medicine |
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QA75 Electronic computers. Computer science RC Internal medicine Pedersen, M. R. V. Kusk, M. W. Lysdahlgaard, S. Mork-Knudsen, H. Malamateniou, C. Jensen, J. A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
topic_facet |
QA75 Electronic computers. Computer science RC Internal medicine |
description |
Introduction The impact of artificial intelligence (AI) on the radiography profession remains uncertain. Although AI has been increasingly used in clinical radiography, the perspectives of the radiography professionals in Nordic countries have yet to be examined. The primary aim was to examine views of Nordic radiographers ‘on AI, with focus on perspectives, engagement, and knowledge of AI. Methods Radiographers from Denmark, Norway, Sweden, Iceland, Greenland, and the Faroe Island were invited through social media platforms to participate in an online survey from March to June 2023. The survey encompassed 29-items and included 4 sections a) demographics, b) barriers and enablers on AI, c) perspectives and experiences of AI and d) knowledge of AI in radiography. Edgars Schein's model of organizational culture was employed to analyse Nordic radiographers' perspectives on AI. Results Overall, a total of 421 respondents participated in the survey. A majority were positive/somewhat positive towards AI in radiography e.g., 77.9 % (n = 342) thought that AI would have a positive effect on the profession, and 26% thought that AI would reduce the administrative workload. Most radiographers agreed or strongly agreed that clinicians may have access to AI generated reports (76.8 %, n = 297). Nevertheless, a total of 86 (20.1%) agree or somewhat agreed that AI a potential risk for radiography. Conclusion Nordic radiographers are generally positive towards AI, yet uncertainties regarding its implementation persist. The findings underscore the importance of understanding these challenges for the responsible integration of AI systems. Carefully weighing the expected influence of AI against key incentives will support a seamless integration of AI for the benefit not just of the patients, but also of the radiography profession. Implications for practice Understanding incentives factors and barriers can help address uncertainties during implementation of AI in clinical practice. |
format |
Article in Journal/Newspaper |
author |
Pedersen, M. R. V. Kusk, M. W. Lysdahlgaard, S. Mork-Knudsen, H. Malamateniou, C. Jensen, J. |
author_facet |
Pedersen, M. R. V. Kusk, M. W. Lysdahlgaard, S. Mork-Knudsen, H. Malamateniou, C. Jensen, J. |
author_sort |
Pedersen, M. R. V. |
title |
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
title_short |
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
title_full |
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
title_fullStr |
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
title_full_unstemmed |
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change? |
title_sort |
nordic survey on artificial intelligence in the radiography profession – is the profession ready for a culture change? |
publisher |
Elsevier BV |
publishDate |
2024 |
url |
https://openaccess.city.ac.uk/id/eprint/32991/ https://openaccess.city.ac.uk/id/eprint/32991/3/1-s2.0-S107881742400097X-main.pdf https://doi.org/10.1016/j.radi.2024.04.020 |
geographic |
Greenland Norway |
geographic_facet |
Greenland Norway |
genre |
Greenland Iceland |
genre_facet |
Greenland Iceland |
op_relation |
https://openaccess.city.ac.uk/id/eprint/32991/3/1-s2.0-S107881742400097X-main.pdf Pedersen, M. R. V., Kusk, M. W., Lysdahlgaard, S. , Mork-Knudsen, H., Malamateniou, C. https://openaccess.city.ac.uk/view/creators_id/christina=2Emalamateniou.html orcid:0000-0002-2352-8575 orcid:0000-0002-2352-8575 Jensen, J.view all authorsEPJS_limit_names_shown_load( 'creators_name_32991_et_al', 'creators_name_32991_rest' ); (2024). A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?. Radiography, 30(4), pp. 1106-1115. doi:10.1016/j.radi.2024.04.020 https://doi.org/10.1016/j.radi.2024.04.020 doi:10.1016/j.radi.2024.04.020 |
op_rights |
cc_by_4 |
op_doi |
https://doi.org/10.1016/j.radi.2024.04.020 |
container_title |
Radiography |
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30 |
container_issue |
4 |
container_start_page |
1106 |
op_container_end_page |
1115 |
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1802645025201324032 |