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

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

JOURNAL=Frontiers in Neurology

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2021.666875

DOI=10.3389/fneur.2021.666875

ISSN=1664-2295

ABSTRACT=<p>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.</p>