Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review

Detalhes bibliográficos
Autor(a) principal: Carvalho, Dayanne Karla de
Data de Publicação: 2021
Outros Autores: Costa, Maria Luiza Lima, Alves-Silva, Esdras Gabriel, Melo, Eloiza Leonardo de, Gerbi, Marleny Elizabeth Márquez de Martínez, Bispo, Mávio Eduardo Azevedo, Sá, Renata Araújo Gomes de, Menezes, Maria Regina Almeida de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/13083
Resumo: The artificial intelligence (AI) is a branch of computing science which uses similar algorithms as a specialist before making any decisions and solving complex issues. In health, the benefits occur from data generation to improve management processes, identifying better treatments and helping in prevention and disclosure early-stage diseases. The purpose of this survey was to perform an integrative review on modern literature about AI to early diagnosis caries injuries, considering the benefits, limitations and impact in society and oral health. An integrative review had been done by searching 6 English scientific articles using on-line databases: PubMed, Cochrane, Scopus and Web of Science, using keywords such as: dental caries, artificial intelligence and dentistry. Moreover, other 6 articles were found by manual research indexed from 2016 to 2020, which worked with case report titled in vitro and in vivo. After eligibility criteria, 12 articles fully published in English and Portuguese were analyzed. The studies have shown that several modern methods of artificial intelligence offered exactness, ease of diagnosis and treatment effectiveness. Nevertheless, this technique has been through an experimental phase, it is required enhancement to reduce mistakes and misconception caused by this system.
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spelling Effectiveness of artificial intelligence in the treatment of dental caries: An integrative reviewEfectividad de la inteligencia artificial en el tratamiento del diagnóstico de caries: Una revisión integradoraBenefício da inteligência artificial para o diagnóstico precoce da cárie dentária: Revisão integrativaCárie Dentária Inteligência ArtificialOdontologia.Dental CariesArtificial IntelligenceDentistry.Caries dentalInteligencia artificialOdontología.The artificial intelligence (AI) is a branch of computing science which uses similar algorithms as a specialist before making any decisions and solving complex issues. In health, the benefits occur from data generation to improve management processes, identifying better treatments and helping in prevention and disclosure early-stage diseases. The purpose of this survey was to perform an integrative review on modern literature about AI to early diagnosis caries injuries, considering the benefits, limitations and impact in society and oral health. An integrative review had been done by searching 6 English scientific articles using on-line databases: PubMed, Cochrane, Scopus and Web of Science, using keywords such as: dental caries, artificial intelligence and dentistry. Moreover, other 6 articles were found by manual research indexed from 2016 to 2020, which worked with case report titled in vitro and in vivo. After eligibility criteria, 12 articles fully published in English and Portuguese were analyzed. The studies have shown that several modern methods of artificial intelligence offered exactness, ease of diagnosis and treatment effectiveness. Nevertheless, this technique has been through an experimental phase, it is required enhancement to reduce mistakes and misconception caused by this system.La Inteligencia artificial denominada IA o en inglés AI (artificial intelligence) es un ramo de la ciencia de la computación que utiliza los ritmos semejantes a un especialista en el acto de tomar decisiones y resolver problemas complejos. En la salud los benefícios vienen por la generación de datos para la optimización de procesos en la gestión, identificando mejores tratamientos y ayudando en la prevención y detección de enfermedades en su etapa inicial. El objetivo de este trabajo fue realizar una revisión integral de la literatura actual sobre la IA para el diagnóstico precoz en lesiones de caries, considerando los beneficios, las limitaciones y el impacto para la sociedad y para la salud bucal. Una revisión integral de la literatura fue realizada por medio de una búsqueda de 6 artículos científicos en inglés en bases de datos electrónicas: PubMed, Cochrane, Scopus, y Web of Science, utilizando los descriptores: caries dental, Inteligencia artificial y odontologia. Además de esto, otros 6 artículos fueron encontrados a través de búsqueda manual indexados en el período de 2016 a 2020 que trataban de estudios de informes de caso, estudio in vitro e in vivo. Posteriormente a los criterios de elegibilidad,  fueron analizados 12 artículos íntegramente publicados en lengua inglesa y lengua portuguesa. Los estudios mostraron que los varios métodos actuales de Inteligencia artificial ofrecen más precisión, facilidad en el diagnóstico y eficacia en el tratamiento. Sin embargo, esta técnica está pasando por una fase experimental, necesitando optimización para diminuir la probabilidad de errores y equívocos causados por este sistema.A inteligência artificial (doravante IA ou em inglês AI - artificial intelligence) é um ramo da ciência da computação que utiliza algoritmos semelhantes a um especialista no ato de tomar decisões e resolver problemas complexos. Na saúde, os benefícios vêm identificando melhores tratamentos e ajudando na prevenção e detecção de doenças em estágio inicial. O objetivo deste trabalho foi realizar uma revisão integrativa da literatura atual sobre IA para o diagnóstico precoce em lesões de cárie, considerando os benefícios, limitações e impacto para a sociedade e para a saúde bucal. Uma revisão integrativa da literatura foi realizada por meio de uma busca de 6 artigos científicos em inglês nas bases de dados eletrônicas: PubMed, Cochrane, Scopus, e Web of Science, utilizando os descritores: cáries dentais, inteligência artificial e odontologia. Além disso, 6 outros artigos foram encontrados por meio de busca manual, indexados no período de 2016 a 2020, que tratavam estudos de relato de caso, estudo in vitro e in vivo. Após os critérios de elegibilidade, foram analisados 12 artigos integralmente publicados em língua inglesa e língua portuguesa. Os estudos mostraram que os vários métodos atuais da inteligência artificial oferecem mais precisão, facilidade no diagnóstico e eficácia no tratamento. Contudo, essa técnica está passando por uma fase experimental, necessitando de aprimoramento para diminuir a probabilidade de erros e equívocos causados por esse sistema.Research, Society and Development2021-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1308310.33448/rsd-v10i4.13083Research, Society and Development; Vol. 10 No. 4; e43210413083Research, Society and Development; Vol. 10 Núm. 4; e43210413083Research, Society and Development; v. 10 n. 4; e432104130832525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/13083/12855Copyright (c) 2021 Dayanne Karla de Carvalho; Maria Luiza Lima Costa; Esdras Gabriel Alves-Silva; Eloiza Leonardo de Melo; Marleny Elizabeth Márquez de Martínez Gerbi; Mávio Eduardo Azevedo Bispo; Renata Araújo Gomes de Sá; Maria Regina Almeida de Menezeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCarvalho, Dayanne Karla de Costa, Maria Luiza Lima Alves-Silva, Esdras Gabriel Melo, Eloiza Leonardo de Gerbi, Marleny Elizabeth Márquez de Martínez Bispo, Mávio Eduardo Azevedo Sá, Renata Araújo Gomes de Menezes, Maria Regina Almeida de 2021-04-25T11:21:26Zoai:ojs.pkp.sfu.ca:article/13083Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:34:30.577427Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
Efectividad de la inteligencia artificial en el tratamiento del diagnóstico de caries: Una revisión integradora
Benefício da inteligência artificial para o diagnóstico precoce da cárie dentária: Revisão integrativa
title Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
spellingShingle Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
Carvalho, Dayanne Karla de
Cárie Dentária
Inteligência Artificial
Odontologia.
Dental Caries
Artificial Intelligence
Dentistry.
Caries dental
Inteligencia artificial
Odontología.
title_short Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
title_full Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
title_fullStr Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
title_full_unstemmed Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
title_sort Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
author Carvalho, Dayanne Karla de
author_facet Carvalho, Dayanne Karla de
Costa, Maria Luiza Lima
Alves-Silva, Esdras Gabriel
Melo, Eloiza Leonardo de
Gerbi, Marleny Elizabeth Márquez de Martínez
Bispo, Mávio Eduardo Azevedo
Sá, Renata Araújo Gomes de
Menezes, Maria Regina Almeida de
author_role author
author2 Costa, Maria Luiza Lima
Alves-Silva, Esdras Gabriel
Melo, Eloiza Leonardo de
Gerbi, Marleny Elizabeth Márquez de Martínez
Bispo, Mávio Eduardo Azevedo
Sá, Renata Araújo Gomes de
Menezes, Maria Regina Almeida de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Dayanne Karla de
Costa, Maria Luiza Lima
Alves-Silva, Esdras Gabriel
Melo, Eloiza Leonardo de
Gerbi, Marleny Elizabeth Márquez de Martínez
Bispo, Mávio Eduardo Azevedo
Sá, Renata Araújo Gomes de
Menezes, Maria Regina Almeida de
dc.subject.por.fl_str_mv Cárie Dentária
Inteligência Artificial
Odontologia.
Dental Caries
Artificial Intelligence
Dentistry.
Caries dental
Inteligencia artificial
Odontología.
topic Cárie Dentária
Inteligência Artificial
Odontologia.
Dental Caries
Artificial Intelligence
Dentistry.
Caries dental
Inteligencia artificial
Odontología.
description The artificial intelligence (AI) is a branch of computing science which uses similar algorithms as a specialist before making any decisions and solving complex issues. In health, the benefits occur from data generation to improve management processes, identifying better treatments and helping in prevention and disclosure early-stage diseases. The purpose of this survey was to perform an integrative review on modern literature about AI to early diagnosis caries injuries, considering the benefits, limitations and impact in society and oral health. An integrative review had been done by searching 6 English scientific articles using on-line databases: PubMed, Cochrane, Scopus and Web of Science, using keywords such as: dental caries, artificial intelligence and dentistry. Moreover, other 6 articles were found by manual research indexed from 2016 to 2020, which worked with case report titled in vitro and in vivo. After eligibility criteria, 12 articles fully published in English and Portuguese were analyzed. The studies have shown that several modern methods of artificial intelligence offered exactness, ease of diagnosis and treatment effectiveness. Nevertheless, this technique has been through an experimental phase, it is required enhancement to reduce mistakes and misconception caused by this system.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-17
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://rsdjournal.org/index.php/rsd/article/view/13083
10.33448/rsd-v10i4.13083
url https://rsdjournal.org/index.php/rsd/article/view/13083
identifier_str_mv 10.33448/rsd-v10i4.13083
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/13083/12855
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 4; e43210413083
Research, Society and Development; Vol. 10 Núm. 4; e43210413083
Research, Society and Development; v. 10 n. 4; e43210413083
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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