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

IntroductionArtificial 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 profe...

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Auteurs principaux:	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, Dávid Sipos, Elona Dybeli, Moreno Zanardo, Cláudia Sá dos Reis, Nejc Mekis, Carst Buissink, Andrew England, Charlotte Beardmore, Altino Cunha, Amand H. Goodall, Janice St John-Matthews, Mark McEntee, Yiannis Kyratsis, Christina Malamateniou
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-12-01
Collection:	Frontiers in Digital Health
Sujets:	artificial intelligence (AI) radiographer radiography professional identity clinical roles AI education
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1603511/full
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