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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Gastrointestinal Endoscopy
2023-01-01
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| Series: | Clinical Endoscopy |
| Subjects: | |
| Online Access: | http://www.e-ce.org/upload/pdf/ce-2022-247.pdf |
| _version_ | 1827609751866834944 |
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| author | Michael Meinikheim Helmut Messmann Alanna Ebigbo |
| author_facet | Michael Meinikheim Helmut Messmann Alanna Ebigbo |
| author_sort | Michael Meinikheim |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T07:38:07Z |
| format | Article |
| id | doaj.art-358d6d38b4a345b98c835b3169a5d0c9 |
| institution | Directory Open Access Journal |
| issn | 2234-2400 2234-2443 |
| language | English |
| last_indexed | 2024-03-09T07:38:07Z |
| publishDate | 2023-01-01 |
| publisher | Korean Society of Gastrointestinal Endoscopy |
| record_format | Article |
| series | Clinical Endoscopy |
| spelling | doaj.art-358d6d38b4a345b98c835b3169a5d0c92023-12-03T05:25:34ZengKorean Society of Gastrointestinal EndoscopyClinical Endoscopy2234-24002234-24432023-01-01561142210.5946/ce.2022.2477733Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasiaMichael MeinikheimHelmut Messmann0Alanna Ebigbo1 Department of Gastroenterology, University Hospital of Augsburg, Augsburg, Germany Department of Gastroenterology, University Hospital of Augsburg, Augsburg, GermanyBarrett’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.http://www.e-ce.org/upload/pdf/ce-2022-247.pdfadenocarcinomaartificial intelligencebarrett esophagusdeep learningendoscopy |
| spellingShingle | Michael Meinikheim Helmut Messmann Alanna Ebigbo Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia Clinical Endoscopy adenocarcinoma artificial intelligence barrett esophagus deep learning endoscopy |
| 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 | adenocarcinoma artificial intelligence barrett esophagus deep learning endoscopy |
| url | http://www.e-ce.org/upload/pdf/ce-2022-247.pdf |
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