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作 者:中华医学会消化内镜学分会大数据协作组 于红刚[2] 王洛伟 姚理文 王静[2] 游航 李佳[2] 谭霞 罗任权 陶逍 王君潇 刘军[2] Big Data Collaboration Group,Digestive Endoscopology Branch of Chinese Medical Association;Yu Honggang;Wang Luowei(不详;Department of Gastroenterology,Renmin Hospital of Wuhan University,Wuhan 430060,China;Department of Gastroenterology,The First Affiliated Hospital of Naval Medical University,Shanghai 200433,China)
机构地区:[1]不详 [2]武汉大学人民医院消化内科,武汉430060 [3]海军军医大学第一附属医院消化内科,上海200433
出 处:《中华消化内镜杂志》2024年第2期85-96,共12页Chinese Journal of Digestive Endoscopy
基 金:教育部重大专项--武汉大学深化校企改革项目;湖北省临床医学研究中心项目(2022DCC004);武汉市人工智能示范应用场景项目(2022YYCJ01)
摘 要:食管胃十二指肠内镜(esophagogastroduodenoscope,EGD)是诊断上消化道肿瘤、癌前病变及危急重疾病的有效工具。人工智能技术在EGD的质量控制和辅助诊断中起到了重要作用,但目前国内外尚无EGD人工智能系统应用的相关共识。2023年中华医学会消化内镜学分会组织全国领域内权威专家讨论,结合国内外最新循证医学证据,形成EGD人工智能系统临床应用专家共识,旨在为临床医师应用EGD人工智能时提供合理的决策依据。本共识包括人工智能在胃镜盲区监测、食管异常病灶识别、食管癌浸润深度预测、食管胃静脉曲张分级、胃异常病灶识别等方面的13条推荐意见陈述,以及EGD人工智能系统临床应用要求。The esophagogastroduodenoscope(EGD)is an effective tool for diagnosing upper gastrointestinal tumors,precancerous lesions and critical emergency diseases.Artificial intelligence(AI)technology plays a significant role in the quality control and auxiliary diagnosis of EGD.However,currently there is no consensus on the application of EGD AI system at home or abroad.In 2023,organizing discussions among nationwide authoritative experts in the field,and combining the latest evidence-based medical evidence at home and abroad,Digestive Endoscopology Branch of Chinese Medical Association has formulated an expert consensus on the clinical application of EGD AI system,in order to provide clinicians with a reasonable decision-making basis when using EGD AI.This consensus consists of 13 recommendations including blind spot monitoring under gastroscopy,esophageal abnormal lesion identification,prediction of esophageal cancer infiltration depth,grading of esophageal gastric varices,identification of gastric abnormal lesions,and clinical application requirements for EGD AI system.
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