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

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 tra...

Descripción completa

Detalles Bibliográficos
Autores principales: Brossard, Clément, Lemasson, Benjamin, Attyé, Arnaud, de Busschère, Jules-Arnaud, Payen, Jean-François, Barbier, Emmanuel L., Grèze, Jules, Bouzat, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222716/
https://www.ncbi.nlm.nih.gov/pubmed/34177773
http://dx.doi.org/10.3389/fneur.2021.666875
Descripción
Sumario: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.

Ejemplares similares