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作 者:Xinjue He Lei Xu Chengfu Xu Jie Zhang Meng Li Weihong Wang Xiaoyun Ding Youming Li Xuequn Zhang
机构地区:[1]Department of Gastroenterology,The First Affiliated Hospital,College of Medicine,Zhejiang University,Hangzhou,Zhejiang 310003,China [2]Department of Gastroenterology,Ningbo Hospital of Zhejiang University,Ningbo,Zhejiang 315010,China
出 处:《Chinese Medical Journal》2022年第22期2759-2760,共2页中华医学杂志(英文版)
基 金:Medical Health Science and Technology Project of the Zhejiang Provincial Health Commission(No. 2020KY125);National Natural Science Foundation of China(No. 81800511)。
摘 要:To the Editor: In China, colorectal cancer (CRC) ranks third in cancer incidence and fifth in cancer-related deaths.[1] Most CRCs arise from adenomatous polyps. Colonoscopy can detect and remove polyps early to prevent CRC. However, the polyp miss rate in conventional colonoscopy may be more than 40%.[2] New endoscopic devices for detecting polyps have made some progress over the past few decades,[3] but are still operator-dependent and require additional costs. Therefore, artificial intelligence (AI)-assisted polyp detection systems have emerged in recent years. This study aimed to evaluate the effectiveness of our newly developed AI-assisted polyp detection system for colonoscopy in a preclinical manner.
关 键 词:POLYP COLON artificial
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