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Artificial Intelligence in Endoscopy Quality Measures
Soban Maan1, Rohit Agrawal1, Shailendra Singh1
1Division of Gastroenterology & Hepatology, Department of Medicine, West Virginia University, Morgantown, WV, USA.
Abstract:
Quality of gastrointestinal endoscopy is a major determinant of its effectiveness. Artificial intelligence (AI) has the potential to enhance quality monitoring and improve endoscopy outcomes. This article reviews the current literature on AI algorithms that have been developed for endoscopy quality assessment.
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