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Artificial intelligence in gastroenterology: A state-of-the-art review

World Journal of Gastroenterology 2021年第40期27卷 6794-6824页

作者： Paul T Kröner Megan ML engels Benjamin S Glicksberg Kipp W Johnson Obaie Mzaik jea.in e va. hooft Michael B Wallace Hashem B el-Serag Chayakrit Krittanawong Division of Gastroenterology and Hepatology Mayo ClinicJacksonvilleFL 32224United States Cancer Center Amsterdam Department of Gastroenterology and HepatologyAmsterdam UMCLocation AMCAmsterdam 1105The Netherlands The Hasso Plattner Institute for Digital Health Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Department of Gastroenterology and Hepatology Leiden University Medical CenterAmsterdam 2300The Netherlands Division of Gastroenterology and Hepatology Sheikh Shakhbout Medical CityAbu Dhabi 11001United Arab Emirates Section of Gastroenterology and Hepatology Michael E.DeBakey VA Medical Center and Baylor College of MedicineHoustonTX 77030United States Section of Health Services Research Michael E.DeBakey VA Medical Center and Baylor College of MedicineHoustonTX 77030United States Section of Cardiology Michael E.DeBakey VA Medical CenterHoustonTX 77030United States

The development of artificial intelligence(AI)has increased dramatically in the last 20 years,with clinical applications progressively being explored for most of the medical *** field of gastroenterology and hepatology,substantially reliant on va.t amounts of imaging studies,is not an *** clinical applications of AI systems in this field include the identification of premalignant or malignant lesions(e.g.,identification of dysplasia or esophageal adenocarcinoma in Barrett’s esophagus,pancreatic malignancies),detection of lesions(e.g.,polyp identification and classification,small-bowel bleeding lesion on capsule endoscopy,pancreatic cystic lesions),development of objective scoring systems for risk stratification,predicting disease prognosis or treatment response[e.g.,determining surviva. in patients post-resection of hepatocellular carcinoma),determining which patients with inflammatory bowel disease(IBD)will benefit from biologic therapy],or eva.uation of metrics such as bowel preparation score or quality of endoscopic *** objective of this comprehensive review is to analyze the ava.lable AI-related studies pertaining to the entirety of the gastrointestinal tract,including the upper,middle and lower tracts;IBD;the hepatobiliary system;and the pancreas,discussing the findings and clinical applications,as well as outlining the current limitations and future directions in this field.

关键词： Artificial intelligence Machine learning Deep learning Clinical applications Gastroenterology

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