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...

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Main Authors: Suneha Sundaram, Tenzin Choden, Mark C. Mattar, Sanjal Desai, Madhav Desai
Format: Article
Language:English
Published: SAGE Publishing 2021-07-01
Series:Therapeutic Advances in Gastrointestinal Endoscopy
Online Access:https://doi.org/10.1177/26317745211017809
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spelling doaj-0b6d381e7df74e1cbb53187b9ce6bfd52021-07-15T01:03:19ZengSAGE PublishingTherapeutic Advances in Gastrointestinal Endoscopy2631-77452021-07-011410.1177/26317745211017809Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road aheadSuneha SundaramTenzin ChodenMark C. MattarSanjal DesaiMadhav DesaiInflammatory 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.https://doi.org/10.1177/26317745211017809
collection DOAJ
language English
format Article
sources DOAJ
author Suneha Sundaram
Tenzin Choden
Mark C. Mattar
Sanjal Desai
Madhav Desai
spellingShingle Suneha Sundaram
Tenzin Choden
Mark C. Mattar
Sanjal Desai
Madhav Desai
Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead
Therapeutic Advances in Gastrointestinal Endoscopy
author_facet Suneha Sundaram
Tenzin Choden
Mark C. Mattar
Sanjal Desai
Madhav Desai
author_sort Suneha Sundaram
title 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_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_sort artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead
publisher SAGE Publishing
series Therapeutic Advances in Gastrointestinal Endoscopy
issn 2631-7745
publishDate 2021-07-01
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.
url https://doi.org/10.1177/26317745211017809
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