Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice.

Journal: Radiography (London, England : 1995)
Published Date:

Abstract

INTRODUCTION: The integration of AI in medical imaging has tremendous exponential growth, especially in image production, image processing and image interpretation. It is expected that radiographers working across all imaging modalities have adequate knowledge as they are part of the end-user team. The current study aimed to investigate the knowledge, willingness and challenges facing the Magnetic Resonance Imaging (MRI) technologists in the integration of Artificial Intelligence (AI) into MRI practice.

Authors

  • M M Abuzaid
    Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
  • H O Tekin
    Medical Diagnostic Imaging Department, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
  • M Reza
    Shaikh Shakeboat Medical City, Radiology Department, AbuDhabi, United Arab Emirates.
  • I R Elhag
    Shaikh Shakeboat Medical City, Radiology Department, AbuDhabi, United Arab Emirates.
  • W Elshami
    Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, United Arab Emirates. Electronic address: welshami@sharjah.ac.ae.