Quality assessment in endoscopy “artificial intelligence in endoscopy”

Quality of care during endoscopy is greatly influenced by endoscopists’ competence and efforts, which is unfortunately subject to variability. The recent transformative role of artificial intelligence (AI) is expected to improve endoscopy quality in a objective way, potentially eliminating inter-end...

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Published inBaillière's best practice & research. Clinical gastroenterology Vol. 76; p. 102006
Main Authors Mori, Yuchi, Misawa, Masashi
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Ltd 01.06.2025
Subjects
Artificial Intelligence
Cancer
Colonic Polyps - diagnosis
Colonic Polyps - diagnostic imaging
Colonoscopy
Colonoscopy - standards
Endoscopy, Gastrointestinal - standards
Gastroscopy
Humans
Optical diagnosis
Polyp
Quality Assurance, Health Care
Workflow
Gastroscopy
Optical diagnosis
Artificial intelligence
Colonoscopy
Polyp
Cancer
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Summary:Quality of care during endoscopy is greatly influenced by endoscopists’ competence and efforts, which is unfortunately subject to variability. The recent transformative role of artificial intelligence (AI) is expected to improve endoscopy quality in a objective way, potentially eliminating inter-endoscopist variability in endoscopy performance. AI aids in real-time detection (CADe) and characterization (CADx) of colorectal polyps, quality assurance of colonoscopy (CAQ), and workflow optimization including surveillance interval support and endoscopy reporting. These technologies are rapidly implemented in real clinical practice largely in the colonoscopy field while there is emerging progress in upper gastrointestinal endoscopy. This review article discusses technological advancements including currently available evidence, regulatory and ethical challenges, and practical tips to maximize the value of AI in endoscopy.
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ISSN:1521-6918
1532-1916
1532-1916
DOI:10.1016/j.bpg.2025.102006