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Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions

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Artificial Intelligence in Gastrointestinal Endoscopy 2022年第3期3卷 16-30页

作者： Harshavardhan Rao B judy a trieu Priya Nair Gilad Gressel Mukund Venu Rama P Venu Department of Gastroenterology Amrita Institute of Medical SciencesKochi 682041KeralaIndia Internal Medicine-Gastroenterology Loyola University Medical CenterMaywoodIL 60153United States Center for Cyber Security Systems and Networks Amrita VishwavidyapeethamKollam 690546KeralaIndia

Artificial intelligence(AI)-based tools have ushered in a new era of innovation in the field of gastrointestinal(GI)*** vast improvements in endoscopic techniques and equipment,diagnostic endoscopy remains heavily operator-dependent,in particular,colonoscopy and endoscopic ultrasound(EUS).Recent reports have shown that as much as 25%of colonic adenomas may be missed at *** can result in an increased incidence of interval colon ***,EUS has been shown to have high inter-observer variability,overlap in diagnoses with a relatively low specificity for pancreatic *** understanding of Machine-learning(ML)techniques in AI have evolved over the last decade and its application in AI–based tools for endoscopic detection and diagnosis is being actively investigated at several *** is an aspect of AI that is based on neural networks,and is widely used for image classification,object detection,and semantic segmentation which are key functional aspects of AI-related computer aided diagnostic *** this review,current status and limitations of ML,specifically for adenoma detection and endosonographic diagnosis of pancreatic lesions,will be summarized from existing *** will help to better understand its role as viewed through the prism of real world application in the field of GI endoscopy.

关键词： Artificial intelligence Artificial Machine Colonoscopy Polyp Endosonography Pancreas

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