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首页> VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy> Artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence in gastrointestinal endoscopy.

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第一作者： Rahul,Pannala
第一单位： Department of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona.
作者： Rahul,Pannala [1] ; Kumar,Krishnan [2] ; Joshua,Melson [3] ; Mansour A,Parsi [4] ; Allison R,Schulman [5] ; Shelby,Sullivan [6] ; Guru,Trikudanathan [7] ; Arvind J,Trindade [8] ; Rabindra R,Watson [9] ; John T,Maple [10] ; David R,Lichtenstein [11]
作者单位： Department of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona. [1] Division of Gastroenterology, Department of Internal Medicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts. [2] Division of Digestive Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois. [3] Section for Gastroenterology and Hepatology, Tulane University Health Sciences Center, New Orleans, Louisiana. [4] Department of Gastroenterology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan. [5] Division of Gastroenterology and Hepatology, University of Colorado School of Medicine, Aurora, Colorado. [6] Department of Gastroenterology, Hepatology and Nutrition, University of Minnesota, Minneapolis, Minnesota. [7] Department of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, New Hyde Park, New York. [8] Department of Gastroenterology, Interventional Endoscopy Services, California Pacific Medical Center, San Francisco, California. [9] Division of Digestive Diseases and Nutrition, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma. [10] Division of Gastroenterology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts. [11]
关键词 ADR, adenoma detection rateAI, artificial intelligenceAMR, adenoma miss rateANN, artificial neural networkBE, Barrett’s esophagusCAD, computer-aided diagnosisCADe, CAD studies for colon polyp detectionCADx, CAD studies for colon polyp classificationCI, confidence intervalCNN, convolutional neural networkCRC, colorectal cancerDL, deep learningGI, gastroenterologyHD-WLE, high-definition white light endoscopyHDWL, high-definition white lightML, machine learningNBI, narrow-band imagingNPV, negative predictive valuePIVI, preservation and Incorporation of Valuable Endoscopic InnovationsSVM, support vector machineVLE, volumetric laser endomicroscopyWCE, wireless capsule endoscopyWL, white light
DOI 10.1016/j.vgie.2020.08.013
PMID 33319126
发布时间 2022-04-19
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VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy

VideoGIE

2020年5卷12期

598-613页

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2020年5卷12期

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