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Radiographers' role in the age of AI: A qualitative comparative multi case study.

S L Sundland1, L-L Lundvall2, H Gustafsson3

  • 1Department of Radiology in Norrköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.

Radiography (London, England : 1995)
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Summary

Radiographers in Sweden face uncertainty with artificial intelligence (AI) integration due to limited training and potential deskilling. Including them in AI planning and formalizing education is crucial for professional development and patient safety.

Keywords:
Artificial intelligenceProfessional identityProfessional roleRadiographers

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Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly integrated into radiology, impacting workflows and potentially professional roles.
  • Sweden faces challenges with AI adoption due to a lack of formal training and persistent staffing shortages.
  • Understanding radiographers' perspectives is vital for sustainable AI implementation and workforce planning.

Purpose of the Study:

  • To explore the influence of current and future AI implementation on the professional role of radiographers in Sweden.
  • To investigate radiographers' perceptions of AI and its impact on their professional identity and future tasks.

Main Methods:

  • A qualitative multi-case study was conducted across three Swedish university hospitals.
  • Semi-structured interviews were performed with 18 strategically selected participants (section leaders, researchers, department managers).
  • Thematic analysis was used to analyze data on perceptions of AI, professional identity, and future tasks.

Main Results:

  • Participants reported a significant lack of AI training and uncertainty regarding future roles.
  • Radiographers' professional roles are often overlooked in technology implementation processes.
  • Maintaining professional competence and development was identified as critical for AI integration.

Conclusions:

  • AI is integrated into radiology workflows, but formal training is limited, leading to concerns about deskilling and loss of professional identity.
  • Radiographers perceive AI as both a facilitator and a potential threat, emphasizing the need to maintain patient safety.
  • Involving radiographers in AI implementation and formalizing AI education are essential for strengthening the profession and enabling advanced roles.