Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead

Suneha Sundaram, Tenzin Choden, Mark C. Mattar, Sanjal Desai, Madhav Desai

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
JournalTherapeutic Advances in Gastrointestinal Endoscopy
Volume14
DOIs
StatePublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), 2021.

Keywords

  • artificial intelligence
  • endoscopy
  • inflammatory bowel disease

PubMed: MeSH publication types

  • Journal Article
  • Review

Fingerprint

Dive into the research topics of 'Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead'. Together they form a unique fingerprint.

Cite this