Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.

Journal: Journal of medical imaging and radiation sciences
Published Date: Mar 1, 2023

Abstract

BACKGROUND: Artificial Intelligence (AI) technologies have already started impacting clinical practice across various settings worldwide, including the radiography profession. This study is aimed at exploring a world-wide view on AI technologies in relation to knowledge, perceptions, and expectations of radiography professionals.

Authors

  • Theophilus N Akudjedu
    Department of Medical Science & Public Health, Faculty of Health & Social Sciences, Institute of Medical Imaging & Visualisation, Bournemouth University, Poole, UK.
  • Sofia Torre
    Department of Radiography, School of Health Sciences, City, University of London, Northampton Square, London, UK.
  • Ricardo Khine
    School of Health and Care Professions, Buckinghamshire New University, UK.
  • Dimitris Katsifarakis
    International Society of Radiographers and Radiological Technologists, UK.
  • Donna Newman
    International Society of Radiographers and Radiological Technologists, UK.
  • Christina Malamateniou
    Division of Midwifery and Radiography, School of Health Sciences, City University of London, London, UK.

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