Evidence map›Paper›PMID 39962024›Full record

ArticleInsights into imaging2025

R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers' roles.

Nikolaos Stogiannos, Gemma Walsh, Benard Ohene-Botwe, Kevin McHugh, Ben Potts, Winnie Tam, Chris O'Sullivan, Anton Sheahan Quinsten, Christopher Gibson, Rodrigo Garcia Gorga and 14 more

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In one paragraph

Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Nikolaos StogiannosDepartment of Midwifery & Radiography, City St George's, University of London, London, UK. nstogiannos@yahoo.com.ORCID http://orcid.org/0000-0003-1378-6631
Gemma WalshDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Benard Ohene-BotweDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Kevin McHughSchool of Dental, Health and Care Professions, University of Portsmouth, Portsmith, UK.
Ben PottsDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Winnie TamDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Chris O'SullivanDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Anton Sheahan QuinstenInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Christopher GibsonMaidstone and Tunbridge Wells NHS Trust, Tunbridge Wells, UK.
Rodrigo Garcia GorgaNuclear Medicine Service, Hospital Universitari Parc Taulí, Sabadell, Spain.
David SiposDepartment of Medical Imaging, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Elona DybeliDepartment of Medical Technical Specialties, Faculty of Medical Technical Sciences, University of Elbasan "Aleksander Xhuvani", Elbasan, Albania.
Moreno ZanardoUnit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Cláudia Sá Dos ReisSchool of Health Sciences (HESAV), University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland.
Nejc MekisFaculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia.
Carst BuissinkEuropean Federation of Radiographer Societies, Cumiera, Portugal.
Andrew EnglandEuropean Federation of Radiographer Societies, Cumiera, Portugal.
Charlotte BeardmoreThe Society and College of Radiographers, London, UK.
Altino CunhaEuropean Federation of Radiographer Societies, Cumiera, Portugal.
Amanda GoodallBayes Business School, City St George's, University of London, London, UK.
Janice St John-MatthewsDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.
Mark McEnteeEuropean Federation of Radiographer Societies, Cumiera, Portugal.
Yiannis KyratsisHealth Services Management & Organisation (HSMO), Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Christina MalamateniouDepartment of Midwifery & Radiography, City St George's, University of London, London, UK.

Funding

College of Radiographers 218
6 · The paper itself

Abstract

objectivesRadiographers 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.

methodsA 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.

resultsA 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.

conclusionWhile 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.

Indexed as

Artificial intelligenceEuropeImpactProfessional identityRadiographers

Identifiers

PMID39962024
PMCPMC11832980

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.