Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers
Introduction: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' activities and profession in Switzerland. M...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95862 |
| _version_ | 1848766053876760576 |
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| author | Champendal, Mélanie De Labouchère, Stephanie Ghotra, Switinder Singh Gremion, Isabelle Sun, Zhonghua Torre, Sofia Khine, Ricardo Marmy, Laurent Malamateniou, Christina Sá Dos Reis, Claudia |
| author_facet | Champendal, Mélanie De Labouchère, Stephanie Ghotra, Switinder Singh Gremion, Isabelle Sun, Zhonghua Torre, Sofia Khine, Ricardo Marmy, Laurent Malamateniou, Christina Sá Dos Reis, Claudia |
| author_sort | Champendal, Mélanie |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Introduction: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' activities and profession in Switzerland.
Methods: A survey conducted in the UK, translated into French and German, was disseminated through professional bodies and social media. The participants were Swiss radiographers (clinical/educators/ researchers/students) and physicians working within the medical imaging profession (radiology/nuclear medicine/radiation-oncology). The survey covered five sections: demographics, AI-knowledge, skills, confidence, perceptions about the AI impact. Descriptive, association statistics and qualitative thematic analysis were conducted.
Results: A total of 242 responses were collected (89% radiographers; 11% physicians). AI is being used by 43% of participants in clinical practice, but 64% of them did not feel confident with AI-terminology. Participants viewed AI as an opportunity (57%), while 19% considered it as a threat. The opportunities were associated with streamlining repetitive tasks, minimizing errors, increasing time towards patient-centered care, research, and patient safety. The significant threats identified were reduction on work positions (23%), decrease of the radiographers' expertise level due to automation bias (16%). Participants (68%) did not feel well trained/prepared to implement AI in their practice, highlighting the non-availability of specific training (88%). 93% of the participants mentioned that AI education should be included at undergraduate education program.
Conclusion: Although most participants perceive AI as an opportunity, this study identified areas for improvement including lack of knowledge, educational supports/training, and confidence in radiographers. Customised training needs to be implemented to improve clinical practice and understanding of how AI can benefit radiographers. |
| first_indexed | 2025-11-14T11:45:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-95862 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:45:02Z |
| publishDate | 2024 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-958622024-10-22T07:04:17Z Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers Champendal, Mélanie De Labouchère, Stephanie Ghotra, Switinder Singh Gremion, Isabelle Sun, Zhonghua Torre, Sofia Khine, Ricardo Marmy, Laurent Malamateniou, Christina Sá Dos Reis, Claudia Introduction: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' activities and profession in Switzerland. Methods: A survey conducted in the UK, translated into French and German, was disseminated through professional bodies and social media. The participants were Swiss radiographers (clinical/educators/ researchers/students) and physicians working within the medical imaging profession (radiology/nuclear medicine/radiation-oncology). The survey covered five sections: demographics, AI-knowledge, skills, confidence, perceptions about the AI impact. Descriptive, association statistics and qualitative thematic analysis were conducted. Results: A total of 242 responses were collected (89% radiographers; 11% physicians). AI is being used by 43% of participants in clinical practice, but 64% of them did not feel confident with AI-terminology. Participants viewed AI as an opportunity (57%), while 19% considered it as a threat. The opportunities were associated with streamlining repetitive tasks, minimizing errors, increasing time towards patient-centered care, research, and patient safety. The significant threats identified were reduction on work positions (23%), decrease of the radiographers' expertise level due to automation bias (16%). Participants (68%) did not feel well trained/prepared to implement AI in their practice, highlighting the non-availability of specific training (88%). 93% of the participants mentioned that AI education should be included at undergraduate education program. Conclusion: Although most participants perceive AI as an opportunity, this study identified areas for improvement including lack of knowledge, educational supports/training, and confidence in radiographers. Customised training needs to be implemented to improve clinical practice and understanding of how AI can benefit radiographers. 2024 Journal Article http://hdl.handle.net/20.500.11937/95862 10.1016/j.jmir.2024.101741 Elsevier restricted |
| spellingShingle | Champendal, Mélanie De Labouchère, Stephanie Ghotra, Switinder Singh Gremion, Isabelle Sun, Zhonghua Torre, Sofia Khine, Ricardo Marmy, Laurent Malamateniou, Christina Sá Dos Reis, Claudia Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title | Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title_full | Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title_fullStr | Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title_full_unstemmed | Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title_short | Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers |
| title_sort | perspectives of medical imaging professionals about the impact of ai on swiss radiographers |
| url | http://hdl.handle.net/20.500.11937/95862 |