Artificial Intelligence user interface preferences in radiology: A scoping review.

Journal: Journal of medical imaging and radiation sciences
Published Date: Feb 27, 2025

Abstract

INTRODUCTION/BACKGROUND: Modern forms of Artificial intelligence (AI) have developed in radiology over the past few years. With the current workforce shortages, in both radiology and radiography professions, AI continues to prove its place in supporting clinical radiology processes. The aim of the scoping review was to investigate the existing literature on the topic of preference of use of artificial intelligence interfaces within a radiology context.

Authors

  • Avneet Gill
    Ulster University, School of Health Sciences, York St, Northern Ireland.
  • Clare Rainey
    Ulster University, School of Health Sciences, York St, Northern Ireland.
  • Laura McLaughlin
    Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
  • Ciara Hughes
    Ulster University, School of Health Sciences, York St, Northern Ireland.
  • Raymond Bond
    Ulster University, School of Computing, York St, Northern Ireland.
  • Jonathan McConnell
    University of Salford, School of Health and Society, Manchester, United Kingdom.
  • Sonyia McFadden
    Ulster University, School of Health Sciences, York St, Northern Ireland.

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