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R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
12
Zitationen
24
Autoren
2025
Jahr
Abstract
Abstract Objectives Radiographers use advanced medical imaging and radiotherapy (MIRT) equipment. They are also a digitally mature and digitally resilient workforce in healthcare. Artificial intelligence is already changing their clinical practice and roles in data acquisition, post-processing, and workflow management. It is therefore vital to understand the impact of AI on the careers, roles and professional identity of radiographers, as key stakeholders of the digital transformation of healthcare within the medical imaging ecosystem. Methods A European radiographer survey, endorsed by the European Federation of Radiographer Societies (EFRS), was distributed online. It was piloted with twelve radiographers and translated into eight languages. Although this study included both qualitative and quantitative results, this paper emphasises the quantitative aspect. Results A total of 2206 European radiographers have responded from 37 different countries. Despite some concerns around workforce deskilling, future professional identity, and job prospects, participants showed overall optimistic views about the use of AI in healthcare. This was particularly strong for those with prior AI education (mean: 2.15 vs. 1.89; p -value: < 0.001), hands-on experience with AI (correlation: 0.047; p -value: 0.038), from countries with higher digital literacy (mean: 2.00 vs.1.93; p -value: 0.027) and a higher academic level of radiography education (mean: 3.28 vs. 3.15; p -value: 0.002). Men appeared slightly more enthused about the development of technological skills and women about the honing of patient-centred care skills. Finally, interprofessional collaboration was seen as essential not only for the seamless clinical integration of AI but also for supporting patient benefit. Conclusion While AI implementation advances, AI education needs to keep at pace to ensure acceptability, trust, and safe use of this technology by healthcare professionals, minimising their concerns around professional role changes and enabling them to see the opportunities of service transformation. Critical relevance statement This paper aims to map out the perceived impact of AI on the professional identity and careers of European radiographers. Key Points AI is impacting radiographers’ clinical practice and changing their professional identity. Despite increasing AI awareness, AI education is still lacking across Europe. AI education is key for AI acceptability and trust by radiographers, which facilitates AI implementation and service transformation. Graphical Abstract
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Autoren
- Nikolaos Stogiannos
- G. Walsh
- Benard Ohene Botwe
- Kevin P. McHugh
- Ben Potts
- Winnie Tam
- Chris O’Sullivan
- Anton S. Quinsten
- Chris Gibson
- Rodrigo Garcia Gorga
- Dávid Sipos
- Elona Dybeli
- Moreno Zanardo
- Cláudia Sà dos Reis
- Nejc Mekiš
- C. Buissink
- Andrew England
- Charlotte Beardmore
- Altino Cunha
- Amanda H. Goodall
- Janice St. John-Matthews
- Mark F. McEntee
- Yiannis Kyratsis
- Christina Malamateniou
Institutionen
- St George's, University of London(GB)
- Kellogg's (Canada)(CA)
- University of Portsmouth(GB)
- University Hospital Southampton NHS Foundation Trust(GB)
- Essen University Hospital(DE)
- Maidstone and Tunbridge Wells NHS Trust(GB)
- Deleted Institution
- University of Pecs(HU)
- University of Elbasan(AL)
- IRCCS Policlinico San Donato(IT)
- HES-SO University of Applied Sciences and Arts Western Switzerland(CH)
- University of Ljubljana(SI)
- Hanze University of Applied Sciences(NL)
- University College Cork(IE)
- Royal College of Radiologists(GB)
- City St George's, University of London(GB)
- National Health Service(GB)
- Erasmus University Rotterdam(NL)
- King's College London(GB)
- European Society of Radiology(AT)