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

Walsh, Gemma (avtor), Stogiannos, Nikolaos (avtor), Ohene-Botwe, Benard (avtor), McHugh, Kevin (avtor), Spurge, Alexander (avtor), Potts, Ben (avtor), Gibson, Christopher (avtor), Tam, Winnie (avtor), O'Sullivan, Chris (avtor), Sheahan Quinsten, Anton (avtor), Mekiš, Nejc (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: artificial intelligence, radiographers, UK, professional identity, impact
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: ZF - Zdravstvena fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Datum objave: 01.01.2025
• Leto izida: 2025
• Št. strani: 17 str.
• Številčenje: Vol. 7, art. 1603511
• PID: 20.500.12556/RUL-176841
• UDK: 616-073
• ISSN pri članku: 2673-253X
• DOI: 10.3389/fdgth.2025.1603511
• COBISS.SI-ID: 261006851
• Datum objave v RUL: 11.12.2025

Gradivo je del revije

• Naslov: Frontiers in digital health
• Skrajšan naslov: Front. digit. health
• Založnik: Frontiers
• ISSN: 2673-253X
• COBISS.SI-ID: 56136707

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.