Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study

This study assessed the reliability of AI-assisted bowel cleansing scoring in colon capsule endoscopy using the CC-CLEAR scale. While interobserver agreement was excellent with manual scoring among experienced readers, AI-assisted reads did not improve agreement but showed reduced consistency, parti...

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Detalles Bibliográficos
Autores: Io Lei, Ian, Gaya, Daniel R., Robertson, Alexander, Schelde-Olesen, Benedicte, Mapiye, Alice, Bhandare, Anirudh, Lui, Bei Bei, Shekhar, Chander, Valentiner, Ursula, Gilabert Roca, Pere, Laiz Treceño, Pablo, Seguí Mesquida, Santi, Parsons, Nicholas, Huhulea, Cristiana, Wenzek, Hagen, White, Elizabeth, Koulaouzidis, Anastasios, Arasaradnam, Ramesh P.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
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:2445/226894
Acceso en línea:https://hdl.handle.net/2445/226894
Access Level:acceso abierto
Palabra clave:Càpsula endoscòpica
Aprenentatge automàtic
Intel·ligència artificial
Capsule endoscopy
Machine learning
Artificial intelligence
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spelling Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility StudyIo Lei, IanGaya, Daniel R.Robertson, AlexanderSchelde-Olesen, BenedicteMapiye, AliceBhandare, AnirudhLui, Bei BeiShekhar, ChanderValentiner, UrsulaGilabert Roca, PereLaiz Treceño, PabloSeguí Mesquida, SantiParsons, NicholasHuhulea, CristianaWenzek, HagenWhite, ElizabethKoulaouzidis, AnastasiosArasaradnam, Ramesh P.Càpsula endoscòpicaAprenentatge automàticIntel·ligència artificialCapsule endoscopyMachine learningArtificial intelligenceThis study assessed the reliability of AI-assisted bowel cleansing scoring in colon capsule endoscopy using the CC-CLEAR scale. While interobserver agreement was excellent with manual scoring among experienced readers, AI-assisted reads did not improve agreement but showed reduced consistency, particularly among less experienced users. The mean AI-assisted scores were significantly lower than manual scores, highlighting potential interpretive challenges. These findings suggest that AI’s effectiveness currently depends on user expertise, reinforcing the importance of further development and refinement required for a robust AI implementation in CCE.MDPI2026202620252026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion15 p.application/pdfhttps://hdl.handle.net/2445/226894Articles 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/10.3390/cancers17172840Cancers, 2025, vol. 17, num.17https://doi.org/10.3390/cancers17172840cc-by (c) Ian Io Lei et al., 2025http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/2268942026-05-29T05:05:01Z
dc.title.none.fl_str_mv Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
title Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
spellingShingle Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
Io Lei, Ian
Càpsula endoscòpica
Aprenentatge automàtic
Intel·ligència artificial
Capsule endoscopy
Machine learning
Artificial intelligence
title_short Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
title_full Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
title_fullStr Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
title_full_unstemmed Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
title_sort Inter-and Intraobserver Variability in Bowel Preparation Scoring for Colon Capsule Endoscopy: Impact of AI-Assisted Assessment Feasibility Study
dc.creator.none.fl_str_mv Io Lei, Ian
Gaya, Daniel R.
Robertson, Alexander
Schelde-Olesen, Benedicte
Mapiye, Alice
Bhandare, Anirudh
Lui, Bei Bei
Shekhar, Chander
Valentiner, Ursula
Gilabert Roca, Pere
Laiz Treceño, Pablo
Seguí Mesquida, Santi
Parsons, Nicholas
Huhulea, Cristiana
Wenzek, Hagen
White, Elizabeth
Koulaouzidis, Anastasios
Arasaradnam, Ramesh P.
author Io Lei, Ian
author_facet Io Lei, Ian
Gaya, Daniel R.
Robertson, Alexander
Schelde-Olesen, Benedicte
Mapiye, Alice
Bhandare, Anirudh
Lui, Bei Bei
Shekhar, Chander
Valentiner, Ursula
Gilabert Roca, Pere
Laiz Treceño, Pablo
Seguí Mesquida, Santi
Parsons, Nicholas
Huhulea, Cristiana
Wenzek, Hagen
White, Elizabeth
Koulaouzidis, Anastasios
Arasaradnam, Ramesh P.
author_role author
author2 Gaya, Daniel R.
Robertson, Alexander
Schelde-Olesen, Benedicte
Mapiye, Alice
Bhandare, Anirudh
Lui, Bei Bei
Shekhar, Chander
Valentiner, Ursula
Gilabert Roca, Pere
Laiz Treceño, Pablo
Seguí Mesquida, Santi
Parsons, Nicholas
Huhulea, Cristiana
Wenzek, Hagen
White, Elizabeth
Koulaouzidis, Anastasios
Arasaradnam, Ramesh P.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Càpsula endoscòpica
Aprenentatge automàtic
Intel·ligència artificial
Capsule endoscopy
Machine learning
Artificial intelligence
topic Càpsula endoscòpica
Aprenentatge automàtic
Intel·ligència artificial
Capsule endoscopy
Machine learning
Artificial intelligence
description This study assessed the reliability of AI-assisted bowel cleansing scoring in colon capsule endoscopy using the CC-CLEAR scale. While interobserver agreement was excellent with manual scoring among experienced readers, AI-assisted reads did not improve agreement but showed reduced consistency, particularly among less experienced users. The mean AI-assisted scores were significantly lower than manual scores, highlighting potential interpretive challenges. These findings suggest that AI’s effectiveness currently depends on user expertise, reinforcing the importance of further development and refinement required for a robust AI implementation in CCE.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
2026
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/2445/226894
url https://hdl.handle.net/2445/226894
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/10.3390/cancers17172840
Cancers, 2025, vol. 17, num.17
https://doi.org/10.3390/cancers17172840
dc.rights.none.fl_str_mv cc-by (c) Ian Io Lei et al., 2025
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Ian Io Lei et al., 2025
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15 p.
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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_ 1869405332995833856
score 15,811543

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