Machine Learning in Acute Ischemic Stroke Neuroimaging

Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases. The evaluation and treatment of Acute Ischemic Stroke (AIS) have experienced a...

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Detalles Bibliográficos
Autores principales: Kamal, Haris, Lopez, Victor, Sheth, Sunil A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236025/
https://www.ncbi.nlm.nih.gov/pubmed/30467491
http://dx.doi.org/10.3389/fneur.2018.00945
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author Kamal, Haris
Lopez, Victor
Sheth, Sunil A.
author_facet Kamal, Haris
Lopez, Victor
Sheth, Sunil A.
author_sort Kamal, Haris
collection PubMed
description Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases. The evaluation and treatment of Acute Ischemic Stroke (AIS) have experienced a significant advancement over the past few years, increasingly requiring the use of neuroimaging for decision-making. In this review, we offer an insight into the recent developments and applications of ML in neuroimaging focusing on acute ischemic stroke.
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spelling pubmed-62360252018-11-22 Machine Learning in Acute Ischemic Stroke Neuroimaging Kamal, Haris Lopez, Victor Sheth, Sunil A. Front Neurol Neurology Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases. The evaluation and treatment of Acute Ischemic Stroke (AIS) have experienced a significant advancement over the past few years, increasingly requiring the use of neuroimaging for decision-making. In this review, we offer an insight into the recent developments and applications of ML in neuroimaging focusing on acute ischemic stroke. Frontiers Media S.A. 2018-11-08 /pmc/articles/PMC6236025/ /pubmed/30467491 http://dx.doi.org/10.3389/fneur.2018.00945 Text en Copyright © 2018 Kamal, Lopez and Sheth. http://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
Kamal, Haris
Lopez, Victor
Sheth, Sunil A.
Machine Learning in Acute Ischemic Stroke Neuroimaging
title Machine Learning in Acute Ischemic Stroke Neuroimaging
title_full Machine Learning in Acute Ischemic Stroke Neuroimaging
title_fullStr Machine Learning in Acute Ischemic Stroke Neuroimaging
title_full_unstemmed Machine Learning in Acute Ischemic Stroke Neuroimaging
title_short Machine Learning in Acute Ischemic Stroke Neuroimaging
title_sort machine learning in acute ischemic stroke neuroimaging
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236025/
https://www.ncbi.nlm.nih.gov/pubmed/30467491
http://dx.doi.org/10.3389/fneur.2018.00945
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