Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy

Colon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly being used as an alternative to conventional colonoscopy. Videos recorded by the capsule cameras are long and require one or more experts' time to review and identify polyps or other potential intestinal probl...

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Detalles Bibliográficos
Autores: Gilabert Roca, Pere, Vitrià i Marca, Jordi, Laiz Treceño, Pablo, Malagelada Prats, Carolina, Watson, Angus, Wenzek, Hagen, Seguí Mesquida, Santi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/194583
Acceso en línea:https://hdl.handle.net/2445/194583
Access Level:acceso abierto
Palabra clave:Intel·ligència artificial
Càpsula endoscòpica
Malalties del còlon
Pòlips (Patologia)
Disseny de pàgines web
Xarxes neuronals convolucionals
Visió per ordinador
Diagnòstic per la imatge
Artificial intelligence
Capsule endoscopy
Colonic diseases
Polyps (Pathology)
Web site design
Convolutional neural networks
Computer vision
Diagnostic imaging
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spelling Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopyGilabert Roca, PereVitrià i Marca, JordiLaiz Treceño, PabloMalagelada Prats, CarolinaWatson, AngusWenzek, HagenSeguí Mesquida, SantiIntel·ligència artificialCàpsula endoscòpicaMalalties del còlonPòlips (Patologia)Disseny de pàgines webXarxes neuronals convolucionalsVisió per ordinadorDiagnòstic per la imatgeArtificial intelligenceCapsule endoscopyColonic diseasesPolyps (Pathology)Web site designConvolutional neural networksComputer visionDiagnostic imagingColon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly being used as an alternative to conventional colonoscopy. Videos recorded by the capsule cameras are long and require one or more experts' time to review and identify polyps or other potential intestinal problems that can lead to major health issues. We developed and tested a multi-platform web application, AI-Tool, which embeds a Convolution Neural Network (CNN) to help CCE reviewers. With the help of artificial intelligence, AI-Tool is able to detect images with high probability of containing a polyp and prioritize them during the reviewing process. With the collaboration of 3 experts that reviewed 18 videos, we compared the classical linear review method using RAPID Reader Software v9.0 and the new software we present. Applying the new strategy, reviewing time was reduced by a factor of 6 and polyp detection sensitivity was increased from 81.08 to 87.80%.Frontiers Media2023202320222023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion8 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/194583Articles publicats en revistes (Matemàtiques i Informàtica)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.3389/fmed.2022.1000726Frontiers in Medicine, 2022, vol. 9https://doi.org/10.3389/fmed.2022.1000726cc-by (c) Gilabert Roca, Pere et al., 2022https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1945832026-05-29T05:05:01Z
dc.title.none.fl_str_mv Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
title Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
spellingShingle Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
Gilabert Roca, Pere
Intel·ligència artificial
Càpsula endoscòpica
Malalties del còlon
Pòlips (Patologia)
Disseny de pàgines web
Xarxes neuronals convolucionals
Visió per ordinador
Diagnòstic per la imatge
Artificial intelligence
Capsule endoscopy
Colonic diseases
Polyps (Pathology)
Web site design
Convolutional neural networks
Computer vision
Diagnostic imaging
title_short Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
title_full Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
title_fullStr Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
title_full_unstemmed Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
title_sort Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
dc.creator.none.fl_str_mv Gilabert Roca, Pere
Vitrià i Marca, Jordi
Laiz Treceño, Pablo
Malagelada Prats, Carolina
Watson, Angus
Wenzek, Hagen
Seguí Mesquida, Santi
author Gilabert Roca, Pere
author_facet Gilabert Roca, Pere
Vitrià i Marca, Jordi
Laiz Treceño, Pablo
Malagelada Prats, Carolina
Watson, Angus
Wenzek, Hagen
Seguí Mesquida, Santi
author_role author
author2 Vitrià i Marca, Jordi
Laiz Treceño, Pablo
Malagelada Prats, Carolina
Watson, Angus
Wenzek, Hagen
Seguí Mesquida, Santi
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Intel·ligència artificial
Càpsula endoscòpica
Malalties del còlon
Pòlips (Patologia)
Disseny de pàgines web
Xarxes neuronals convolucionals
Visió per ordinador
Diagnòstic per la imatge
Artificial intelligence
Capsule endoscopy
Colonic diseases
Polyps (Pathology)
Web site design
Convolutional neural networks
Computer vision
Diagnostic imaging
topic Intel·ligència artificial
Càpsula endoscòpica
Malalties del còlon
Pòlips (Patologia)
Disseny de pàgines web
Xarxes neuronals convolucionals
Visió per ordinador
Diagnòstic per la imatge
Artificial intelligence
Capsule endoscopy
Colonic diseases
Polyps (Pathology)
Web site design
Convolutional neural networks
Computer vision
Diagnostic imaging
description Colon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly being used as an alternative to conventional colonoscopy. Videos recorded by the capsule cameras are long and require one or more experts' time to review and identify polyps or other potential intestinal problems that can lead to major health issues. We developed and tested a multi-platform web application, AI-Tool, which embeds a Convolution Neural Network (CNN) to help CCE reviewers. With the help of artificial intelligence, AI-Tool is able to detect images with high probability of containing a polyp and prioritize them during the reviewing process. With the collaboration of 3 experts that reviewed 18 videos, we compared the classical linear review method using RAPID Reader Software v9.0 and the new software we present. Applying the new strategy, reviewing time was reduced by a factor of 6 and polyp detection sensitivity was increased from 81.08 to 87.80%.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
2023
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://hdl.handle.net/2445/194583
url https://hdl.handle.net/2445/194583
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.3389/fmed.2022.1000726
Frontiers in Medicine, 2022, vol. 9
https://doi.org/10.3389/fmed.2022.1000726
dc.rights.none.fl_str_mv cc-by (c) Gilabert Roca, Pere et al., 2022
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Gilabert Roca, Pere et al., 2022
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv Articles publicats en revistes (Matemàtiques i Informàtica)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416275991592960
score 15.198674

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