Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review.

Journal: Journal of medical imaging and radiation sciences
PMID: 39437624

Abstract

INTRODUCTION: Artificial Intelligence (AI) represents the application of computer systems to tasks traditionally performed by humans. The medical imaging profession has experienced a transformative shift through the integration of AI. While there have been several independent primary studies describing various aspects of AI, the current review employs a systematic approach towards describing the perspectives of radiologists and radiographers about the integration of AI in clinical practice. This review provides a holistic view from a professional standpoint towards understanding how the broad spectrum of AI tools are perceived as a unit in medical imaging practice.

Authors

  • Samuel Arkoh
    Department of Radiography, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana.
  • Theophilus N Akudjedu
    Department of Medical Science & Public Health, Faculty of Health & Social Sciences, Institute of Medical Imaging & Visualisation, Bournemouth University, Poole, UK.
  • Cletus Amedu
    Diagnostic Radiography, Department of Midwifery & Radiography School of Health & Psychological Sciences City St George's, University of London, Northampton Square London EC1V 0HB, UK.
  • William K Antwi
    Department of Radiography, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra, Ghana.
  • Wiam Elshami
    Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah, Sharjah, UAE.
  • Benard Ohene-Botwe
    Department of Radiography, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Accra , Ghana.

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