Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Perspectives of Medical Imaging Professionals about the Impact of AI on Swiss Radiographers

Mélanie Champendal
ORCID logo ,
Stephanie De Labouchère
,
Switinder Singh Ghotra
ORCID logo ,
Isabelle Gremion
,
Zhonghua Sun
* ,
Sofia Torre
,
Ricardo Khine
,
Laurent Marmy
,
Christina Malamateniou
,
Claudia Sa Dos Reis
ORCID logo
Version 1 : Received: 5 January 2024 / Approved: 5 January 2024 / Online: 5 January 2024 (12:49:21 CET)

How to cite: Champendal, M.; Labouchère, S.D.; Ghotra, S.S.; Gremion, I.; Sun, Z.; Torre, S.; Khine, R.; Marmy, L.; Malamateniou, C.; Sa Dos Reis, C. Perspectives of Medical Imaging Professionals about the Impact of AI on Swiss Radiographers. Preprints 2024, 2024010491. https://doi.org/10.20944/preprints202401.0491.v1 Champendal, M.; Labouchère, S.D.; Ghotra, S.S.; Gremion, I.; Sun, Z.; Torre, S.; Khine, R.; Marmy, L.; Malamateniou, C.; Sa Dos Reis, C. Perspectives of Medical Imaging Professionals about the Impact of AI on Swiss Radiographers. Preprints 2024, 2024010491. https://doi.org/10.20944/preprints202401.0491.v1

Abstract

The aim of this study was to explore the perceived impact of artificial intelligence (AI) on radiographers’ activities and profession in Switzerland. 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. A total of 242 responses were collected (89% radiographers; 11% physicians). AI is being used by 43% of participants in clinical practice, but 63.8% of them did not feel confident with AI terminology. Participants viewed AI as an opportunity (57.2%), while 18.5% considered it as a threat. The opportunities were associated with streamlining repetitive tasks, minimizing errors, increasing time towards patient-centred care, research, and patient safety. The significant threats identified were reduction on work positions (22.6%), decrease of the radiographers’ expertise level due to automation bias (16.4%). Participants (68.3%) did not feel well trained/prepared to implement AI in their practice, highlighting the non-availability of specific training (87.6%). 93% of the participants mentioned that AI education should be included at undergraduate education program. 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.

Keywords

Artificial intelligence; radiography; radiology; practice; impact; knowledge; profession

Subject

Medicine and Pharmacology, Clinical Medicine

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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