Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients.
artificial intelligence
classification
computed tomography
review
segmentation
traumatic brain injury
Journal
Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899
Informations de publication
Date de publication:
2021
2021
Historique:
received:
11
02
2021
accepted:
15
04
2021
entrez:
28
6
2021
pubmed:
29
6
2021
medline:
29
6
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34177773
doi: 10.3389/fneur.2021.666875
pmc: PMC8222716
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
666875Informations de copyright
Copyright © 2021 Brossard, Lemasson, Attyé, de Busschère, Payen, Barbier, Grèze and Bouzat.
Déclaration de conflit d'intérêts
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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