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  6. Nordic Radiographers' And Students' Perspectives On Artificial Intelligence - A Cross-sectional Online Survey

Nordic radiographers' and students' perspectives on artificial intelligence - A cross-sectional online survey

M R V Pedersen1, M W Kusk2, S Lysdahlgaard3

  • 1Department of Radiology, Vejle Hospital - Part of Lillebaelt Hospital, Vejle, Denmark; Department of Radiology, Kolding Hospital- Part of Lillebaelt Hospital, Kolding, Denmark; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark; Discipline of Medical Imaging & Radiation Therapy, School of Medicine, University College Cork, Ireland.

Radiography (London, England : 1995)
|March 10, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Nordic radiographers show a positive attitude towards artificial intelligence (AI) in radiography and are aware of its potential applications. However, current AI education and training for these professionals remain limited, highlighting a need for enhanced development.

Area of Science:

  • Radiography and Medical Imaging
  • Artificial Intelligence in Healthcare
  • Professional Development in Radiology

Background:

  • Artificial intelligence (AI) offers significant potential to enhance radiography, improving workflow efficiency, image processing, patient positioning, and quality assurance.
  • Successful integration of AI in radiology departments relies heavily on the active participation and acceptance of key stakeholders, particularly radiographers.
  • Understanding radiographers' perspectives is crucial for the effective implementation of AI technologies in clinical practice.

Purpose of the Study:

  • To investigate the perspectives and attitudes of Nordic radiographers towards the integration of artificial intelligence (AI) in radiography.
  • To assess the current level of AI knowledge and training among radiographers in Nordic countries.
  • To identify potential barriers and facilitators for AI adoption in Nordic radiography settings.
Keywords:
Artificial intelligenceEducationRadiographerRadiography

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Main Methods:

  • An online survey comprising 29 items was distributed to radiographers and students across Denmark, Norway, Sweden, Iceland, Greenland, and the Faroe Islands.
  • The survey included questions on demographics, specialization, educational background, workplace, and AI-related perspectives and knowledge.
  • Data were collected using a mix of closed-type and scaled questions, with optional free-text responses for further insights.

Main Results:

  • A total of 586 responses were received from all Nordic countries, indicating broad engagement.
  • A significant majority (82.8%) were aware of AI's potential in radiography, and 77.9% expressed interest in further AI education.
  • However, only 43% reported no AI training in clinical practice, and 13% received AI education during undergraduate studies, highlighting a gap in formal training.

Conclusions:

  • Nordic radiographers generally hold positive attitudes toward AI and recognize its potential benefits in radiography.
  • There is a substantial disparity between the awareness and interest in AI and the actual provision of AI education and training for radiographers.
  • Continuous professional development is essential to equip radiographers with the necessary skills for effective AI implementation and utilization in clinical practice.
Survey