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Scoping out the future:The application of artificial intelligence to gastrointestinal endoscopy

World Journal of Gastrointestinal Oncology 2022年第5期14卷 989-1001页

作者： Scott B Minchenberg Trent Walradt jeremy r glissen brown Department of Internal Medicine Beth Israel Deaconess Medical CenterBostonMA 02130United States Division of Gastroenterology Beth Israel Deaconess Medical CenterBostonMA 02130United States

Artificial intelligence(AI)is a quickly expanding field in gastrointestinal *** there are a myriad of applications of AI ranging from identification of bleeding to predicting outcomes in patients with inflammatory bowel disease,a great deal of research has focused on the identification and classification of gastrointestinal *** of the initial randomized,prospective trials utilizing AI in clinical medicine have centered on polyp detection during screening *** addition to work focused on colorectal cancer,AI systems have also been applied to gastric,esophageal,pancreatic,and liver *** promising results in initial studies,the generalizability of most of these AI systems have not yet been *** this article we review recent developments in the field of AI applied to gastrointestinal oncology.

关键词： Artificial intelligence Oncology Gastroenterology Endoscopy Machine learning Computer-assisted decision making Computer-aided detection Computer-aided diagnosis

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Artificial intelligence in gastrointestinal endoscopy:The future is almost here

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World Journal of Gastrointestinal Endoscopy 2018年第10期10卷 239-249页

作者： Muthuraman Alagappan jeremy r glissen brown Yuichi Mori Tyler M Berzin Center for Advanced Endoscopy Beth Israel Deaconess Medical Center Harvard Medical Digestive Disease Center Showa University Northern Yokohama Hospital

Artificial intelligence(AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstructured medical data and perform clinical tasks, such as the identification of diabetic retinopathy or the diagnosis of cutaneous malignancies. Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning, are beginning to emerge in gastrointestinal endoscopy. The most promising of these efforts have been in computeraided detection and computer-aided diagnosis of colorectal polyps, with recent systems demonstrating high sensitivity and accuracy even when compared to expert human endoscopists. AI has also been utilized to identify gastrointestinal bleeding, to detect areas of inflammation, and even to diagnose certain gastrointestinal infections. Future work in the field should concentrate on creating seamless integration of AI systems with current endoscopy platforms and electronic medical records, developing training modules to teach clinicians how to use AI tools, and determining the best means for regulation and approval of new AI technology.

关键词： Artificial intelligence Machine learning Gastrointestinal endoscopy Computer-assisted decision making Computer-aided detection Colonic polyps Colonoscopy Computer-aided diagnosis Colorectal adenocarcinoma

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