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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Gastrointestinal Endoscopy
2023
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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. |
format | Online Article Text |
id | pubmed-9902686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society of Gastrointestinal Endoscopy |
record_format | MEDLINE/PubMed |
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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