Charting the potential of brain computed tomography deep learning systems.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Published Date: Mar 12, 2022

Abstract

Brain computed tomography (CTB) scans are widely used to evaluate intracranial pathology. The implementation and adoption of CTB has led to clinical improvements. However, interpretation errors occur and may have substantial morbidity and mortality implications for patients. Deep learning has shown promise for facilitating improved diagnostic accuracy and triage. This research charts the potential of deep learning applied to the analysis of CTB scans. It draws on the experience of practicing clinicians and technologists involved in development and implementation of deep learning-based clinical decision support systems. We consider the past, present and future of the CTB, along with limitations of existing systems as well as untapped beneficial use cases. Implementing deep learning CTB interpretation systems and effectively navigating development and implementation risks can deliver many benefits to clinicians and patients, ultimately improving efficiency and safety in healthcare.

Authors

  • Quinlan D Buchlak
    School of Medicine, The University of Notre Dame, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.
  • Michael R Milne
    Annalise-AI, Sydney, New South Wales, Australia michael.milne@annalise.ai.
  • Jarrel Seah
    Department of Neuroscience, Monash University, Melbourne, Australia; Radiology and Nuclear Medicine, Alfred Health, Melbourne, Australia.
  • Andrew Johnson
    Annalise-AI, Sydney, New South Wales, Australia.
  • Gihan Samarasinghe
    School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia.
  • Ben Hachey
    Annalise.ai, Sydney, New South Wales, Australia.
  • Nazanin Esmaili
    School of Medicine, The University of Notre Dame, Sydney, NSW, Australia.
  • Aengus Tran
    Annalise.ai, Sydney, NSW, Australia.
  • Jean-Christophe Leveque
    Neuroscience Institute, Virginia Mason Medical Center, Seattle, WA, USA.
  • Farrokh Farrokhi
    Neuroscience Institute, Virginia Mason Medical Center, Seattle, WA, USA.
  • Tony Goldschlager
    Department of Neurosurgery, Monash Health, Melbourne, VIC, Australia.
  • Simon Edelstein
    Annalise.ai, Sydney, NSW, Australia; Department of Radiology, Monash Health, Melbourne, VIC, Australia; I-MED Radiology Network, Brisbane, QLD, Australia.
  • Peter Brotchie
    St Vincent's Hospital, Melbourne, Victoria, Australia.

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