Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead
Author(s) -
Suneha Sundaram,
Tenzin Choden,
Mark Mattar,
Sanjal H. Desai,
Madhav Desai
Publication year - 2021
Publication title -
therapeutic advances in gastrointestinal endoscopy
Language(s) - English
Resource type - Journals
ISSN - 2631-7745
DOI - 10.1177/26317745211017809
Subject(s) - inflammatory bowel disease , medicine , endoscopy , disease , grading (engineering) , colonoscopy , dysplasia , gastroenterology , intensive care medicine , colorectal cancer , civil engineering , cancer , engineering
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.
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