Machine learning and deep learning for classifying the justification of brain CT referrals.

Journal: European radiology
PMID: 38913244

Abstract

OBJECTIVES: To train the machine and deep learning models to automate the justification analysis of radiology referrals in accordance with iGuide categorisation, and to determine if prediction models can generalise across multiple clinical sites and outperform human experts.

Authors

  • Jaka Potočnik
    University College Dublin School of Medicine, Radiography & Diagnostic Imaging, Room A223, Belfield, Dublin 4, Ireland. Electronic address: jaka.potocnik@ucd.ie.
  • Edel Thomas
    University College Dublin School of Medicine, Radiography & Diagnostic Imaging, Room A223, Belfield, Dublin 4, Ireland.
  • Aonghus Lawlor
    Insight SFI Centre for Data Analytics, University College Dublin, Dublin, Ireland.
  • Dearbhla Kearney
    Mater Misericordiae University Hospital, Dublin, Ireland. dearbhlakearney92@gmail.com.
  • Eric J Heffernan
    St. Vincent's University Hospital, Dublin, Ireland. ericjheffernan@gmail.com.
  • Ronan P Killeen
    St Vincent's University Hospital, Dublin, Ireland.
  • Shane J Foley
    Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland.

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