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Reviews in AI (188) Neurology and Neurosciences (390) Surgery, Trauma and Surgical Sciences (292) Imaging Informatics (475) Stroke (321) Medical imaging (196) Developments in Neuroradiology (6)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87794, first published .
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AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review

AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review

Authors of this article:

Vu-Thu-Nguyet Pham1 Author Orcid Image ;   Irini Logothetis1 Author Orcid Image ;   Prasanthan Thaveenthiran2 Author Orcid Image ;   Simon Vajda1 Author Orcid Image ;   Rondhir Jithoo3 Author Orcid Image ;   Joseph Mathew2 Author Orcid Image ;   Kon Mouzakis1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Vu-Thu-Nguyet Pham   1 ;   Irini Logothetis   1 , PhD ;   Prasanthan Thaveenthiran   2 ;   Simon Vajda   1 ;   Rondhir Jithoo   3 ;   Joseph Mathew   2 ;   Kon Mouzakis   1

1 Applied Artificial Intelligence Initiative, Deakin University, Melbourne, Victoria, Australia

2 National Trauma Research Institute, The Alfred Hospital, Melbourne, Victoria, Australia

3 Department of Neurosurgery, The Alfred Hospital, Melbourne, Victoria, Australia

Corresponding Author:

  • Vu-Thu-Nguyet Pham
  • Applied Artificial Intelligence Initiative, Deakin University
  • BC, Level 7/221 Burwood Hwy
  • Melbourne, Victoria 3125
  • Australia
  • Phone: 61 487092912
  • Email: s224866463@deakin.edu.au