R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK

Gemma Walsh; Nikolaos Stogiannos; Benard Ohene-Botwe; Kevin McHugh; Alexander Spurge; Ben Potts; Christopher Gibson; Winnie Tam; Chris O'Sullivan; Anton Sheahan Quinsten; Rodrigo Garcia Gorga; David Sipos; Elona Dybeli; Moreno Zanardo; Claudia 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

doi:10.3389/fdgth.2025.1603511

R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK

Gemma Walsh^*, Nikolaos Stogiannos, Benard Ohene-Botwe, Kevin McHugh, Alexander Spurge, Ben Potts, Christopher Gibson, Winnie Tam, Chris O'Sullivan, Anton Sheahan Quinsten, Rodrigo Garcia Gorga, David Sipos, Elona Dybeli, Moreno Zanardo, Claudia Sá dos Reis, Nejc Mekis, Carst Buissink, Andrew England, Charlotte Beardmore, Altino CunhaAmanda Goodall, Janice St. John-Matthews, Mark McEntee, Yiannis Kyratsis, Christina Malamateniou

^*Corresponding author for this work

School of Dental, Health and Care Professions

Research output: Contribution to journal › Article › peer-review

Abstract

Introduction: Artificial Intelligence (AI) is being increasingly integrated into radiography, affecting daily responsibilities and workflows. Most studies focus on AI’s influence on clinical performance or workflows; fewer explore radiographers' perspectives on how AI affects their roles and the profession. This study aims to investigate the perceived impact of AI on radiographers' careers, roles and professional identity in the UK.

Methods: A UK-wide, cross-sectional, online survey including 32 questions was conducted using snowball sampling to gather responses from qualified radiographers and radiography students. The survey gathered data on: (a) demographics, (b) perceived short-term impacts of AI on roles and responsibilities, (c) potential medium-to-long-term impacts, (d) opportunities and threats from AI, and (e) preparedness to work with AI. Overall perceptions (optimism, neutrality, or pessimism) were derived from cumulative answers to a subset of 6 questions.

Results: A total of 322 valid responses were received, showing general optimism about medium-to-long-term impact of AI on careers, roles and professional identity (60.7% optimistic). Most respondents (70.8%) reported no formal AI education or training, with AI education emerging as the top priority for improving preparedness in clinical practice. Concerns centered around the potential deskilling of radiographers and AI inefficiencies. However, 81.2% agreed AI would not replace radiographers in the long term.

Conclusion: Radiographers are broadly optimistic about AI's impact but express concerns about deskilling due to reliance on AI. While their optimism is encouraging for recruitment and retention, there is a clear need for AI-specific education to enhance preparedness to work with AI.

Original language	English
Article number	1603511
Number of pages	17
Journal	Frontiers in Digital Health
Volume	7
DOIs	https://doi.org/10.3389/fdgth.2025.1603511
Publication status	Published - 8 Dec 2025

Keywords

Artificial Intelligence
Radiographers
UK
Professional identity
Impact

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10.3389/fdgth.2025.1603511

fdgth-7-1603511Final published version, 1.04 MBLicence: CC BY

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R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
Stogiannos, N., Walsh, G., Ohene-Botwe, B., McHugh, K., Potts, B., Tam, W., O'Sullivan, C., Sheahan Quinsten, A., Gibson, C., Garcia Gorga, R., Sipos, D., Dybeli, E., Zanardo, M., Sá dos Reis, C., Mekis, N., Buissink, C., England, A., Beardmore, C., Cunha, A. & Goodall, A. & 4 others, St. John-Matthews, J., McEntee, M., Kyratsis, Y. & Malamateniou, C., 17 Feb 2025, In: Insights into Imaging. 16, p. 1-13 13 p., 43.
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Walsh, G., Stogiannos, N., Ohene-Botwe, B., McHugh, K., Spurge, A., Potts, B., Gibson, C., Tam, W., O'Sullivan, C., Sheahan Quinsten, A., Garcia Gorga, R., Sipos, D., Dybeli, E., Zanardo, M., Sá dos Reis, C., Mekis, N., Buissink, C., England, A., Beardmore, C., ... Malamateniou, C. (2025). R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK. Frontiers in Digital Health, 7, Article 1603511. https://doi.org/10.3389/fdgth.2025.1603511

@article{dc8176c479914b059ce43f02117073bb,

title = "R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK",

abstract = "Introduction: Artificial Intelligence (AI) is being increasingly integrated into radiography, affecting daily responsibilities and workflows. Most studies focus on AI{\textquoteright}s influence on clinical performance or workflows; fewer explore radiographers' perspectives on how AI affects their roles and the profession. This study aims to investigate the perceived impact of AI on radiographers' careers, roles and professional identity in the UK. Methods: A UK-wide, cross-sectional, online survey including 32 questions was conducted using snowball sampling to gather responses from qualified radiographers and radiography students. The survey gathered data on: (a) demographics, (b) perceived short-term impacts of AI on roles and responsibilities, (c) potential medium-to-long-term impacts, (d) opportunities and threats from AI, and (e) preparedness to work with AI. Overall perceptions (optimism, neutrality, or pessimism) were derived from cumulative answers to a subset of 6 questions. Results: A total of 322 valid responses were received, showing general optimism about medium-to-long-term impact of AI on careers, roles and professional identity (60.7\% optimistic). Most respondents (70.8\%) reported no formal AI education or training, with AI education emerging as the top priority for improving preparedness in clinical practice. Concerns centered around the potential deskilling of radiographers and AI inefficiencies. However, 81.2\% agreed AI would not replace radiographers in the long term. Conclusion: Radiographers are broadly optimistic about AI's impact but express concerns about deskilling due to reliance on AI. While their optimism is encouraging for recruitment and retention, there is a clear need for AI-specific education to enhance preparedness to work with AI. ",

keywords = "Artificial Intelligence, Radiographers, UK, Professional identity, Impact",

author = "Gemma Walsh and Nikolaos Stogiannos and Benard Ohene-Botwe and Kevin McHugh and Alexander Spurge and Ben Potts and Christopher Gibson and Winnie Tam and Chris O'Sullivan and \{Sheahan Quinsten\}, Anton and \{Garcia Gorga\}, Rodrigo and David Sipos and Elona Dybeli and Moreno Zanardo and \{S{\'a} dos Reis\}, Claudia and Nejc Mekis and Carst Buissink and Andrew England and Charlotte Beardmore and Altino Cunha and Amanda Goodall and \{St. John-Matthews\}, Janice and Mark McEntee and Yiannis Kyratsis and Christina Malamateniou",

year = "2025",

month = dec,

day = "8",

doi = "10.3389/fdgth.2025.1603511",

language = "English",

volume = "7",

journal = "Frontiers in Digital Health",

issn = "2673-253X",

publisher = "Frontiers",

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Walsh, G, Stogiannos, N, Ohene-Botwe, B, McHugh, K, Spurge, A, Potts, B, Gibson, C, Tam, W, O'Sullivan, C, Sheahan Quinsten, A, Garcia Gorga, R, Sipos, D, Dybeli, E, Zanardo, M, Sá dos Reis, C, Mekis, N, Buissink, C, England, A, Beardmore, C, Cunha, A, Goodall, A, St. John-Matthews, J, McEntee, M, Kyratsis, Y & Malamateniou, C 2025, 'R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK', Frontiers in Digital Health, vol. 7, 1603511. https://doi.org/10.3389/fdgth.2025.1603511

TY - JOUR

T1 - R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK

AU - Walsh, Gemma

AU - Stogiannos, Nikolaos

AU - Ohene-Botwe, Benard

AU - McHugh, Kevin

AU - Spurge, Alexander

AU - Potts, Ben

AU - Gibson, Christopher

AU - Tam, Winnie

AU - O'Sullivan, Chris

AU - Sheahan Quinsten, Anton

AU - Garcia Gorga, Rodrigo

AU - Sipos, David

AU - Dybeli, Elona

AU - Zanardo, Moreno

AU - Sá dos Reis, Claudia

AU - Mekis, Nejc

AU - Buissink, Carst

AU - England, Andrew

AU - Beardmore, Charlotte

AU - Cunha, Altino

AU - Goodall, Amanda

AU - St. John-Matthews, Janice

AU - McEntee, Mark

AU - Kyratsis, Yiannis

AU - Malamateniou, Christina

PY - 2025/12/8

Y1 - 2025/12/8

N2 - Introduction: Artificial Intelligence (AI) is being increasingly integrated into radiography, affecting daily responsibilities and workflows. Most studies focus on AI’s influence on clinical performance or workflows; fewer explore radiographers' perspectives on how AI affects their roles and the profession. This study aims to investigate the perceived impact of AI on radiographers' careers, roles and professional identity in the UK. Methods: A UK-wide, cross-sectional, online survey including 32 questions was conducted using snowball sampling to gather responses from qualified radiographers and radiography students. The survey gathered data on: (a) demographics, (b) perceived short-term impacts of AI on roles and responsibilities, (c) potential medium-to-long-term impacts, (d) opportunities and threats from AI, and (e) preparedness to work with AI. Overall perceptions (optimism, neutrality, or pessimism) were derived from cumulative answers to a subset of 6 questions. Results: A total of 322 valid responses were received, showing general optimism about medium-to-long-term impact of AI on careers, roles and professional identity (60.7% optimistic). Most respondents (70.8%) reported no formal AI education or training, with AI education emerging as the top priority for improving preparedness in clinical practice. Concerns centered around the potential deskilling of radiographers and AI inefficiencies. However, 81.2% agreed AI would not replace radiographers in the long term. Conclusion: Radiographers are broadly optimistic about AI's impact but express concerns about deskilling due to reliance on AI. While their optimism is encouraging for recruitment and retention, there is a clear need for AI-specific education to enhance preparedness to work with AI.

AB - Introduction: Artificial Intelligence (AI) is being increasingly integrated into radiography, affecting daily responsibilities and workflows. Most studies focus on AI’s influence on clinical performance or workflows; fewer explore radiographers' perspectives on how AI affects their roles and the profession. This study aims to investigate the perceived impact of AI on radiographers' careers, roles and professional identity in the UK. Methods: A UK-wide, cross-sectional, online survey including 32 questions was conducted using snowball sampling to gather responses from qualified radiographers and radiography students. The survey gathered data on: (a) demographics, (b) perceived short-term impacts of AI on roles and responsibilities, (c) potential medium-to-long-term impacts, (d) opportunities and threats from AI, and (e) preparedness to work with AI. Overall perceptions (optimism, neutrality, or pessimism) were derived from cumulative answers to a subset of 6 questions. Results: A total of 322 valid responses were received, showing general optimism about medium-to-long-term impact of AI on careers, roles and professional identity (60.7% optimistic). Most respondents (70.8%) reported no formal AI education or training, with AI education emerging as the top priority for improving preparedness in clinical practice. Concerns centered around the potential deskilling of radiographers and AI inefficiencies. However, 81.2% agreed AI would not replace radiographers in the long term. Conclusion: Radiographers are broadly optimistic about AI's impact but express concerns about deskilling due to reliance on AI. While their optimism is encouraging for recruitment and retention, there is a clear need for AI-specific education to enhance preparedness to work with AI.

KW - Artificial Intelligence

KW - Radiographers

KW - UK

KW - Professional identity

KW - Impact

U2 - 10.3389/fdgth.2025.1603511

DO - 10.3389/fdgth.2025.1603511

M3 - Article

SN - 2673-253X

VL - 7

JO - Frontiers in Digital Health

JF - Frontiers in Digital Health

M1 - 1603511

ER -

R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK

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

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