Frontiers in Neurology (Jun 2021)

Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients

  • Clément Brossard,
  • Benjamin Lemasson,
  • Arnaud Attyé,
  • Jules-Arnaud de Busschère,
  • Jean-François Payen,
  • Emmanuel L. Barbier,
  • Jules Grèze,
  • Pierre Bouzat

DOI
https://doi.org/10.3389/fneur.2021.666875
Journal volume & issue
Vol. 12

Abstract

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The gold standard to diagnose intracerebral lesions after traumatic brain injury (TBI) is computed tomography (CT) scan, and due to its accessibility and improved quality of images, the global burden of CT scan for TBI patients is increasing. The recent developments of automated determination of traumatic brain lesions and medical-decision process using artificial intelligence (AI) represent opportunities to help clinicians in screening more patients, identifying the nature and volume of lesions and estimating the patient outcome. This short review will summarize what is ongoing with the use of AI and CT scan for patients with TBI.

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