R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
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...
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SpringerOpen
2025-02-01
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| Series: | Insights into Imaging |
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| Online Access: | https://doi.org/10.1186/s13244-025-01918-6 |
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| author | Nikolaos Stogiannos Gemma Walsh Benard Ohene-Botwe Kevin McHugh Ben Potts Winnie Tam Chris O’Sullivan Anton Sheahan Quinsten Christopher Gibson Rodrigo Garcia Gorga David Sipos Elona Dybeli Moreno Zanardo Cláudia Sá dos Reis Nejc Mekis Carst Buissink Andrew England Charlotte Beardmore Altino Cunha Amanda Goodall Janice St John-Matthews Mark McEntee Yiannis Kyratsis Christina Malamateniou |
| author_facet | Nikolaos Stogiannos Gemma Walsh Benard Ohene-Botwe Kevin McHugh Ben Potts Winnie Tam Chris O’Sullivan Anton Sheahan Quinsten Christopher Gibson Rodrigo Garcia Gorga David Sipos Elona Dybeli Moreno Zanardo Cláudia Sá dos Reis Nejc Mekis Carst Buissink Andrew England Charlotte Beardmore Altino Cunha Amanda Goodall Janice St John-Matthews Mark McEntee Yiannis Kyratsis Christina Malamateniou |
| author_sort | Nikolaos Stogiannos |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-e4e9d2be3e9d49a5b47f60d5090a69cc |
| institution | OA Journals |
| issn | 1869-4101 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj-art-e4e9d2be3e9d49a5b47f60d5090a69cc2025-08-20T02:15:11ZengSpringerOpenInsights into Imaging1869-41012025-02-0116111310.1186/s13244-025-01918-6R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ rolesNikolaos Stogiannos0Gemma Walsh1Benard Ohene-Botwe2Kevin McHugh3Ben Potts4Winnie Tam5Chris O’Sullivan6Anton Sheahan Quinsten7Christopher Gibson8Rodrigo Garcia Gorga9David Sipos10Elona Dybeli11Moreno Zanardo12Cláudia Sá dos Reis13Nejc Mekis14Carst Buissink15Andrew England16Charlotte Beardmore17Altino Cunha18Amanda Goodall19Janice St John-Matthews20Mark McEntee21Yiannis Kyratsis22Christina Malamateniou23Department of Midwifery & Radiography, City St George’s, University of LondonDepartment of Midwifery & Radiography, City St George’s, University of LondonDepartment of Midwifery & Radiography, City St George’s, University of LondonSchool of Dental, Health and Care Professions, University of PortsmouthDepartment of Midwifery & Radiography, City St George’s, University of LondonDepartment of Midwifery & Radiography, City St George’s, University of LondonDepartment of Midwifery & Radiography, City St George’s, University of LondonInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital EssenMaidstone and Tunbridge Wells NHS TrustNuclear Medicine Service, Hospital Universitari Parc TaulíDepartment of Medical Imaging, Faculty of Health Sciences, University of PécsDepartment of Medical Technical Specialties, Faculty of Medical Technical Sciences, University of Elbasan “Aleksander Xhuvani”Unit of Radiology, IRCCS Policlinico San DonatoSchool of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO)Faculty of Health Sciences, University of LjubljanaEuropean Federation of Radiographer SocietiesEuropean Federation of Radiographer SocietiesThe Society and College of RadiographersEuropean Federation of Radiographer SocietiesBayes Business School, City St George’s, University of LondonDepartment of Midwifery & Radiography, City St George’s, University of LondonEuropean Federation of Radiographer SocietiesHealth Services Management & Organisation (HSMO), Erasmus School of Health Policy & Management, Erasmus University RotterdamDepartment of Midwifery & Radiography, City St George’s, University of LondonAbstract 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 Abstracthttps://doi.org/10.1186/s13244-025-01918-6Artificial intelligenceRadiographersEuropeProfessional identityImpact |
| spellingShingle | Nikolaos Stogiannos Gemma Walsh Benard Ohene-Botwe Kevin McHugh Ben Potts Winnie Tam Chris O’Sullivan Anton Sheahan Quinsten Christopher Gibson Rodrigo Garcia Gorga David Sipos Elona Dybeli Moreno Zanardo Cláudia Sá dos Reis Nejc Mekis Carst Buissink Andrew England Charlotte Beardmore Altino Cunha Amanda Goodall Janice St John-Matthews Mark McEntee Yiannis Kyratsis Christina Malamateniou R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles Insights into Imaging Artificial intelligence Radiographers Europe Professional identity Impact |
| title | R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles |
| title_full | R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles |
| title_fullStr | R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles |
| title_full_unstemmed | R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles |
| title_short | R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles |
| title_sort | r ai diographers a european survey on perceived impact of ai on professional identity careers and radiographers roles |
| topic | Artificial intelligence Radiographers Europe Professional identity Impact |
| url | https://doi.org/10.1186/s13244-025-01918-6 |
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