Potential of artificial intelligence for radiation dose reduction in computed tomography -A scoping review.

Journal: Radiography (London, England : 1995)
Published Date: May 7, 2025

Abstract

INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramifications for nearly every aspect of diagnostic imaging, including computed tomography (CT). This current work aims to review, evaluate, and summarise the role of AI in radiation dose optimisation across three fundamental domains in CT: patient positioning, scan range determination, and image reconstruction.

Authors

  • M Bani-Ahmad
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland; Faculty of Applied Medical Sciences, Department of Medical Imaging, The Hashemite University, Zarqa, Jordan. Electronic address: 124102447@umail.ucc.ie.
  • A England
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • L McLaughlin
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • Y H Hadi
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland.
  • M McEntee
    The Discipline of Medical Imaging and Radiation Therapy, University College Cork, College Road, T12 K8AF Cork, Ireland; Syddansk Universitet, University of Southern Denmark Faculty of Health Sciences, Denmark; University of Sydney, Faculty of Medicine, Australia.

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