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Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead
Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283211/ https://www.ncbi.nlm.nih.gov/pubmed/34345816 http://dx.doi.org/10.1177/26317745211017809 |
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author | Sundaram, Suneha Choden, Tenzin Mattar, Mark C. Desai, Sanjal Desai, Madhav |
author_facet | Sundaram, Suneha Choden, Tenzin Mattar, Mark C. Desai, Sanjal Desai, Madhav |
author_sort | Sundaram, Suneha |
collection | PubMed |
description | Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review. |
format | Online Article Text |
id | pubmed-8283211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-82832112021-08-02 Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead Sundaram, Suneha Choden, Tenzin Mattar, Mark C. Desai, Sanjal Desai, Madhav Ther Adv Gastrointest Endosc Artificial Intelligence in gastrointestinal endoscopy Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review. SAGE Publications 2021-07-14 /pmc/articles/PMC8283211/ /pubmed/34345816 http://dx.doi.org/10.1177/26317745211017809 Text en © The Author(s), 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Artificial Intelligence in gastrointestinal endoscopy Sundaram, Suneha Choden, Tenzin Mattar, Mark C. Desai, Sanjal Desai, Madhav Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title | Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title_full | Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title_fullStr | Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title_full_unstemmed | Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title_short | Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
title_sort | artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead |
topic | Artificial Intelligence in gastrointestinal endoscopy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283211/ https://www.ncbi.nlm.nih.gov/pubmed/34345816 http://dx.doi.org/10.1177/26317745211017809 |
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