Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).

Journal: Neuroradiology
Published Date: May 1, 2023

Abstract

PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released guideline designed for the optimal reporting methodology of artificial intelligence (AI) studies. Gliomas are the most common form of primary malignant brain tumour and numerous outcomes derived from AI algorithms such as grading, survival, treatment-related effects and molecular status have been reported. The aim of the study is to evaluate the AI reporting methodology for outcomes relating to gliomas in magnetic resonance imaging (MRI) using the CLAIM criteria.

Authors

  • Abhishta Bhandari
    Townsville University Hospital, 100 Angus Smith Drive, Townsville, QLD, 4814, Australia. Abhishta.bhandari@my.jcu.edu.au.
  • Luke Scott
    Cairns Hospital, 165 Esplanade, Cairns, QLD, 4870, Australia.
  • Manuela Weilbach
    Redcliffe Hospital, Anzac Avenue, Redcliffe, QLD, 4020, Australia.
  • Ravi Marwah
    Townsville University Hospital, 100 Angus Smith Drive, Townsville, QLD, 4814, Australia.
  • Arian Lasocki
    Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

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