Artificial Intelligence in Gastrointestinal Endoscopy

Recent advancements in artificial intelligence (AI) have significantly impacted the field of gastrointestinal (GI) endoscopy, with applications spanning a wide range of clinical indications. The central goals for AI in GI endoscopy are to improve endoscopic procedural performance and quality assessm...

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Bibliographic Details
Published inGastroenterology clinics of North America Vol. 53; no. 4; p. 773
Main Authors Labaki, Chris, Uche-Anya, Eugenia N, Berzin, Tyler M
Format Journal Article
LanguageEnglish
Published United States 01.12.2024
Subjects
Algorithms
Artificial Intelligence
Endoscopy, Gastrointestinal - methods
Gastrointestinal Diseases - diagnosis
Humans
Gastrointestinal endoscopy
Computer vision
Natural language processing
Artificial intelligence
Machine learning
Online AccessGet more information
ISSN1558-1942
DOI10.1016/j.gtc.2024.08.005

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Summary:Recent advancements in artificial intelligence (AI) have significantly impacted the field of gastrointestinal (GI) endoscopy, with applications spanning a wide range of clinical indications. The central goals for AI in GI endoscopy are to improve endoscopic procedural performance and quality assessment, optimize patient outcomes, and reduce administrative burden. Despite early progress, such as Food and Drug Administration approval of the first computer-aided polyp detection system in 2021, there are numerous important challenges to be faced on the path toward broader adoption of AI algorithms in clinical endoscopic practice.
ISSN:1558-1942
DOI:10.1016/j.gtc.2024.08.005