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Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia

Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopy are challenging, even for expert e...

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Detalles Bibliográficos
Autores principales: Meinikheim, Michael, Messmann, Helmut, Ebigbo, Alanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Gastrointestinal Endoscopy 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902686/
https://www.ncbi.nlm.nih.gov/pubmed/36646423
http://dx.doi.org/10.5946/ce.2022.247
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author Meinikheim, Michael
Messmann, Helmut
Ebigbo, Alanna
author_facet Meinikheim, Michael
Messmann, Helmut
Ebigbo, Alanna
author_sort Meinikheim, Michael
collection PubMed
description Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett’s esophagus and elaborate on potential artificial intelligence in the future.
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spelling pubmed-99026862023-02-16 Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia Meinikheim, Michael Messmann, Helmut Ebigbo, Alanna Clin Endosc Review Barrett’s esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett’s esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett’s esophagus and elaborate on potential artificial intelligence in the future. Korean Society of Gastrointestinal Endoscopy 2023-01 2023-01-17 /pmc/articles/PMC9902686/ /pubmed/36646423 http://dx.doi.org/10.5946/ce.2022.247 Text en Copyright © 2023 Korean Society of Gastrointestinal Endoscopy https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Meinikheim, Michael
Messmann, Helmut
Ebigbo, Alanna
Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title_full Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title_fullStr Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title_full_unstemmed Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title_short Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
title_sort role of artificial intelligence in diagnosing barrett’s esophagus-related neoplasia
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902686/
https://www.ncbi.nlm.nih.gov/pubmed/36646423
http://dx.doi.org/10.5946/ce.2022.247
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