Effectiveness of artificial intelligence in the treatment of dental caries: An integrative review
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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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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1797052832416792576 |