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

  • 0Department of Midwifery & Radiography, City St George's, University of London, London, UK. nstogiannos@yahoo.com.

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Summary

This summary is machine-generated.

Artificial intelligence is transforming radiographers' roles. While concerns exist, European radiographers are optimistic about AI, especially with proper education and experience. AI education is crucial for its acceptance and safe integration in healthcare.

Area Of Science

  • Medical Imaging and Radiotherapy (MIRT)
  • Healthcare Workforce Digital Transformation
  • Artificial Intelligence in Clinical Practice

Background

  • Radiographers utilize advanced MIRT equipment and are a digitally mature healthcare workforce.
  • Artificial intelligence (AI) is increasingly influencing radiographers' roles in data acquisition, post-processing, and workflow management.
  • Understanding AI's impact on radiographers' careers and professional identity is vital for healthcare's digital transformation.

Purpose Of The Study

  • To investigate the perceived impact of artificial intelligence (AI) on the professional identity and career trajectories of European radiographers.
  • To assess radiographers' attitudes towards AI integration within the medical imaging ecosystem.

Main Methods

  • A European survey of radiographers, endorsed by the European Federation of Radiographer Societies (EFRS), was conducted online.
  • The survey was piloted and translated into eight languages.
  • This paper focuses on the quantitative results derived from 2206 responses across 37 countries.

Main Results

  • Despite concerns about deskilling and job prospects, European radiographers generally hold optimistic views regarding AI in healthcare.
  • Prior AI education, hands-on AI experience, higher national digital literacy, and advanced radiography education levels correlated with more positive AI perceptions.
  • Men showed more enthusiasm for technological skill development, while women focused on patient-centered care skills; interprofessional collaboration was deemed essential for AI integration and patient benefit.

Conclusions

  • AI is actively reshaping radiographers' clinical practices and professional identities.
  • There is a recognized gap in AI education across Europe, hindering full acceptance and trust among radiographers.
  • Enhanced AI education is paramount to ensure the safe and effective implementation of AI, fostering service transformation and addressing professional concerns.

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