Artificial intelligence and Big Data in neurology

Detalhes bibliográficos
Autor(a) principal: Amaro Junior,Edson
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos de neuro-psiquiatria (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000700342
Resumo: ABSTRACT Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well as some of the most relevant scientific initiatives at the time of this writing.
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spelling Artificial intelligence and Big Data in neurologyBig DataArtificial IntelligenceNeurologyABSTRACT Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well as some of the most relevant scientific initiatives at the time of this writing.Academia Brasileira de Neurologia - ABNEURO2022-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000700342Arquivos de Neuro-Psiquiatria v.80 n.5 suppl.1 2022reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/0004-282x-anp-2022-s139info:eu-repo/semantics/openAccessAmaro Junior,Edsoneng2022-08-16T00:00:00Zoai:scielo:S0004-282X2022000700342Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2022-08-16T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse
dc.title.none.fl_str_mv Artificial intelligence and Big Data in neurology
title Artificial intelligence and Big Data in neurology
spellingShingle Artificial intelligence and Big Data in neurology
Amaro Junior,Edson
Big Data
Artificial Intelligence
Neurology
title_short Artificial intelligence and Big Data in neurology
title_full Artificial intelligence and Big Data in neurology
title_fullStr Artificial intelligence and Big Data in neurology
title_full_unstemmed Artificial intelligence and Big Data in neurology
title_sort Artificial intelligence and Big Data in neurology
author Amaro Junior,Edson
author_facet Amaro Junior,Edson
author_role author
dc.contributor.author.fl_str_mv Amaro Junior,Edson
dc.subject.por.fl_str_mv Big Data
Artificial Intelligence
Neurology
topic Big Data
Artificial Intelligence
Neurology
description ABSTRACT Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well as some of the most relevant scientific initiatives at the time of this writing.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000700342
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2022000700342
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0004-282x-anp-2022-s139
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
publisher.none.fl_str_mv Academia Brasileira de Neurologia - ABNEURO
dc.source.none.fl_str_mv Arquivos de Neuro-Psiquiatria v.80 n.5 suppl.1 2022
reponame:Arquivos de neuro-psiquiatria (Online)
instname:Academia Brasileira de Neurologia
instacron:ABNEURO
instname_str Academia Brasileira de Neurologia
instacron_str ABNEURO
institution ABNEURO
reponame_str Arquivos de neuro-psiquiatria (Online)
collection Arquivos de neuro-psiquiatria (Online)
repository.name.fl_str_mv Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia
repository.mail.fl_str_mv ||revista.arquivos@abneuro.org
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