Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual

Detalhes bibliográficos
Autor(a) principal: Mascarenhas, Amanda Sofia Silva
Data de Publicação: 2021
Outros Autores: Silva, Marcelo Moreira da, Barra, Renato Ramos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Brazilian Journal of Health Review
Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838
Resumo: The aim of this article is to analyze the current overview of machine learning applied to cardiac imaging in nuclear medicine through a review of the recent literature. In recent years, new highly efficient artificial intelligence tools are revolutionizing the field of image analysis, being developed with the purpose of integrating the large volume of clinical and image information to improve the diagnosis of the disease and the risk estimate. The integration of artificial intelligence in daily clinical practice is being evaluated on several fronts and nuclear cardiology can benefit from the improvement in sensitivity, specificity, and diagnostic accuracy that the incorporation of these technologies can provide. 
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spelling Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atualArtificial IntelligenceCardiologyNuclear MedicineRadiology.The aim of this article is to analyze the current overview of machine learning applied to cardiac imaging in nuclear medicine through a review of the recent literature. In recent years, new highly efficient artificial intelligence tools are revolutionizing the field of image analysis, being developed with the purpose of integrating the large volume of clinical and image information to improve the diagnosis of the disease and the risk estimate. The integration of artificial intelligence in daily clinical practice is being evaluated on several fronts and nuclear cardiology can benefit from the improvement in sensitivity, specificity, and diagnostic accuracy that the incorporation of these technologies can provide. Brazilian Journals Publicações de Periódicos e Editora Ltda.2021-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/2783810.34119/bjhrv4n2-304Brazilian Journal of Health Review; Vol. 4 No. 2 (2021); 7678-7682Brazilian Journal of Health Review; v. 4 n. 2 (2021); 7678-76822595-6825reponame:Brazilian Journal of Health Reviewinstname:Federação das Indústrias do Estado do Paraná (FIEP)instacron:BJRHporhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838/22031Copyright (c) 2021 Brazilian Journal of Health Reviewinfo:eu-repo/semantics/openAccessMascarenhas, Amanda Sofia SilvaSilva, Marcelo Moreira daBarra, Renato Ramos2021-05-31T22:30:55Zoai:ojs2.ojs.brazilianjournals.com.br:article/27838Revistahttp://www.brazilianjournals.com/index.php/BJHR/indexPRIhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/oai|| brazilianjhr@gmail.com2595-68252595-6825opendoar:2021-05-31T22:30:55Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)false
dc.title.none.fl_str_mv Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
title Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
spellingShingle Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
Mascarenhas, Amanda Sofia Silva
Artificial Intelligence
Cardiology
Nuclear Medicine
Radiology.
title_short Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
title_full Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
title_fullStr Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
title_full_unstemmed Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
title_sort Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual
author Mascarenhas, Amanda Sofia Silva
author_facet Mascarenhas, Amanda Sofia Silva
Silva, Marcelo Moreira da
Barra, Renato Ramos
author_role author
author2 Silva, Marcelo Moreira da
Barra, Renato Ramos
author2_role author
author
dc.contributor.author.fl_str_mv Mascarenhas, Amanda Sofia Silva
Silva, Marcelo Moreira da
Barra, Renato Ramos
dc.subject.por.fl_str_mv Artificial Intelligence
Cardiology
Nuclear Medicine
Radiology.
topic Artificial Intelligence
Cardiology
Nuclear Medicine
Radiology.
description The aim of this article is to analyze the current overview of machine learning applied to cardiac imaging in nuclear medicine through a review of the recent literature. In recent years, new highly efficient artificial intelligence tools are revolutionizing the field of image analysis, being developed with the purpose of integrating the large volume of clinical and image information to improve the diagnosis of the disease and the risk estimate. The integration of artificial intelligence in daily clinical practice is being evaluated on several fronts and nuclear cardiology can benefit from the improvement in sensitivity, specificity, and diagnostic accuracy that the incorporation of these technologies can provide. 
publishDate 2021
dc.date.none.fl_str_mv 2021-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838
10.34119/bjhrv4n2-304
url https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838
identifier_str_mv 10.34119/bjhrv4n2-304
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838/22031
dc.rights.driver.fl_str_mv Copyright (c) 2021 Brazilian Journal of Health Review
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Brazilian Journal of Health Review
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
dc.source.none.fl_str_mv Brazilian Journal of Health Review; Vol. 4 No. 2 (2021); 7678-7682
Brazilian Journal of Health Review; v. 4 n. 2 (2021); 7678-7682
2595-6825
reponame:Brazilian Journal of Health Review
instname:Federação das Indústrias do Estado do Paraná (FIEP)
instacron:BJRH
instname_str Federação das Indústrias do Estado do Paraná (FIEP)
instacron_str BJRH
institution BJRH
reponame_str Brazilian Journal of Health Review
collection Brazilian Journal of Health Review
repository.name.fl_str_mv Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)
repository.mail.fl_str_mv || brazilianjhr@gmail.com
_version_ 1797240061549346816

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