CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?

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In recent years we have seen a huge number of papers presenting the different possibilities for artificial intelligence (AI) in dentistry. Within the next decade, AI will transform the workflow of modern dental practice. Additionally, AI tools can enable healthcare professionals to increase their re...

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Detalles Bibliográficos
Autor: Dias da Silveira, Heraldo Luís
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Científica del Sur
Repositorio:Revistas - Universidad Científica del Sur
Lenguaje:inglés
OAI Identifier:oai:revistas.cientifica.edu.pe:article/2109
Enlace del recurso:https://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109
Nivel de acceso:acceso abierto
Materia:artificial intelligence
Cone beam computed tomography
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spelling CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?TOMOGRAFÍA COMPUTARIZADA E INTELIGENCIA ARTIFICIAL. ¿DÓNDE ESTAMOS?Dias da Silveira, Heraldo Luísartificial intelligenceCone beam computed tomographyIn recent years we have seen a huge number of papers presenting the different possibilities for artificial intelligence (AI) in dentistry. Within the next decade, AI will transform the workflow of modern dental practice. Additionally, AI tools can enable healthcare professionals to increase their reliability, effectiveness, and usefulness, nonetheless potential limitations and errors. (1)Systematic reviews concerning artificial intelligence for radiographic imaging detection of caries lesions concluded that AI-based models exhibit good diagnostic performance. AI provides comprehensive, reliable, and accurate image assessment and disease detection, thus facilitating effective and efficient diagnosis and improving the prognosis of dental caries in periapical radiographs. However, the various AI models come with their own set of pros and cons, so the selection of a model should be based on the specific task objectives and requirements. (2, 3) Accordingly, research projects should be meticulously designed to detect the trueperformance of AI models. Carrera de Estomatología de la Universidad Científica del Sur2024-11-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.cientifica.edu.pe/index.php/odontologica/article/view/210910.21142/2523-2754-1204-2024-214Revista Científica Odontológica; Vol. 12 Núm. 4 (2024); e214Revista Científica Odontológica; Vol. 12 No. 4 (2024); e2142523-27542310-2594reponame:Revistas - Universidad Científica del Surinstname:Universidad Científica del Surinstacron:CIENTÍFICAenghttps://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109/1418Derechos de autor 2024 Heraldo Luís Dias da Silveirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistas.cientifica.edu.pe:article/21092024-11-25T03:38:16Z
dc.title.none.fl_str_mv CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
TOMOGRAFÍA COMPUTARIZADA E INTELIGENCIA ARTIFICIAL. ¿DÓNDE ESTAMOS?
title CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
spellingShingle CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
Dias da Silveira, Heraldo Luís
artificial intelligence
Cone beam computed tomography
title_short CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
title_full CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
title_fullStr CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
title_full_unstemmed CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
title_sort CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
dc.creator.none.fl_str_mv Dias da Silveira, Heraldo Luís
author Dias da Silveira, Heraldo Luís
author_facet Dias da Silveira, Heraldo Luís
author_role author
dc.subject.none.fl_str_mv artificial intelligence
Cone beam computed tomography
topic artificial intelligence
Cone beam computed tomography
description In recent years we have seen a huge number of papers presenting the different possibilities for artificial intelligence (AI) in dentistry. Within the next decade, AI will transform the workflow of modern dental practice. Additionally, AI tools can enable healthcare professionals to increase their reliability, effectiveness, and usefulness, nonetheless potential limitations and errors. (1)Systematic reviews concerning artificial intelligence for radiographic imaging detection of caries lesions concluded that AI-based models exhibit good diagnostic performance. AI provides comprehensive, reliable, and accurate image assessment and disease detection, thus facilitating effective and efficient diagnosis and improving the prognosis of dental caries in periapical radiographs. However, the various AI models come with their own set of pros and cons, so the selection of a model should be based on the specific task objectives and requirements. (2, 3) Accordingly, research projects should be meticulously designed to detect the trueperformance of AI models. 
publishDate 2024
dc.date.none.fl_str_mv 2024-11-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109
10.21142/2523-2754-1204-2024-214
url https://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109
identifier_str_mv 10.21142/2523-2754-1204-2024-214
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109/1418
dc.rights.none.fl_str_mv Derechos de autor 2024 Heraldo Luís Dias da Silveira
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2024 Heraldo Luís Dias da Silveira
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 Carrera de Estomatología de la Universidad Científica del Sur
publisher.none.fl_str_mv Carrera de Estomatología de la Universidad Científica del Sur
dc.source.none.fl_str_mv Revista Científica Odontológica; Vol. 12 Núm. 4 (2024); e214
Revista Científica Odontológica; Vol. 12 No. 4 (2024); e214
2523-2754
2310-2594
reponame:Revistas - Universidad Científica del Sur
instname:Universidad Científica del Sur
instacron:CIENTÍFICA
instname_str Universidad Científica del Sur
instacron_str CIENTÍFICA
institution CIENTÍFICA
reponame_str Revistas - Universidad Científica del Sur
collection Revistas - Universidad Científica del Sur
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 12.814605
CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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