Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients
- PMID: 34177773
- PMCID: PMC8222716
- DOI: 10.3389/fneur.2021.666875
Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients
Abstract
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.
Keywords: artificial intelligence; classification; computed tomography; review; segmentation; traumatic brain injury.
Copyright © 2021 Brossard, Lemasson, Attyé, de Busschère, Payen, Barbier, Grèze and Bouzat.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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