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Usefulness of artificial intelligence in gastric neoplasms

作     者:Ji Hyun Kim Seung-Joo Nam Sung Chul Park 

作者机构:Division of Gastroenterology and HepatologyDepartment of Internal MedicineKangwon National University School of MedicineChuncheon 24289Kangwon DoSouth Korea 

出 版 物:《World Journal of Gastroenterology》 (世界胃肠病学杂志(英文版))

年 卷 期:2021年第27卷第24期

页      面:3543-3555页

核心收录:

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Artificial intelligence Convolutional neural network Gastric neoplasm Esophagogastroduodenoscopy Diagnosis Invasion depth 

摘      要:Recently,studies in many medical fields have reported that image analysis based on artificial intelligence(AI)can be used to analyze structures or features that are difficult to identify with human *** diagnose early gastric cancer,related efforts such as narrow-band imaging technology are ***,diagnosis is often ***,a diagnostic method based on AI for endoscopic imaging was developed and its effectiveness was confirmed in many *** gastric cancer diagnostic program based on AI showed relatively high diagnostic accuracy and could differentially diagnose non-neoplastic lesions including benign gastric ulcers and *** AI system has also been developed that helps to predict the invasion depth of gastric cancer through endoscopic images and observe the stomach during endoscopy without blind ***,if AI is used in the field of endoscopy,it is expected to aid in the diagnosis of gastric neoplasms and determine the application of endoscopic therapy by predicting the invasion depth.

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