Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
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 |
_version_ | 1783711544754831360 |
---|---|
author | Brossard, Clément Lemasson, Benjamin Attyé, Arnaud de Busschère, Jules-Arnaud Payen, Jean-François Barbier, Emmanuel L. Grèze, Jules Bouzat, Pierre |
author_facet | Brossard, Clément Lemasson, Benjamin Attyé, Arnaud de Busschère, Jules-Arnaud Payen, Jean-François Barbier, Emmanuel L. Grèze, Jules Bouzat, Pierre |
author_sort | Brossard, Clément |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8222716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82227162021-06-25 Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients Brossard, Clément Lemasson, Benjamin Attyé, Arnaud de Busschère, Jules-Arnaud Payen, Jean-François Barbier, Emmanuel L. Grèze, Jules Bouzat, Pierre Front Neurol Neurology 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. Frontiers Media S.A. 2021-06-10 /pmc/articles/PMC8222716/ /pubmed/34177773 http://dx.doi.org/10.3389/fneur.2021.666875 Text en Copyright © 2021 Brossard, Lemasson, Attyé, de Busschère, Payen, Barbier, Grèze and Bouzat. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Brossard, Clément Lemasson, Benjamin Attyé, Arnaud de Busschère, Jules-Arnaud Payen, Jean-François Barbier, Emmanuel L. Grèze, Jules Bouzat, Pierre Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title | Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title_full | Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title_fullStr | Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title_full_unstemmed | Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title_short | Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients |
title_sort | contribution of ct-scan analysis by artificial intelligence to the clinical care of tbi patients |
topic | Neurology |
url | 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 |
work_keys_str_mv | AT brossardclement contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT lemassonbenjamin contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT attyearnaud contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT debusscherejulesarnaud contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT payenjeanfrancois contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT barbieremmanuell contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT grezejules contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients AT bouzatpierre contributionofctscananalysisbyartificialintelligencetotheclinicalcareoftbipatients |