Applications of artificial intelligence in magnetic resonance imaging of primary pediatric cancers: a scoping review and CLAIM score assessment.

Journal: Japanese journal of radiology
Published Date: Oct 1, 2023

Abstract

PURPOSES: To review the uses of AI for magnetic resonance (MR) imaging assessment of primary pediatric cancer and identify common literature topics and knowledge gaps. To assess the adherence of the existing literature to the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) guidelines.

Authors

  • Brian Tsang
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Aaryan Gupta
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Marcelo Straus Takahashi
    Instituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.
  • Henrique Baffi
    Western University, London, ON, Canada.
  • Tolulope Ola
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Andrea S Doria
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada. andrea.doria@sickkids.ca.

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