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A deep-learning based system for diagnosing multitype gastric lesions under white-light endoscopy
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作者 Qi Luo xianglei yuan +3 位作者 Wei Liu Ou Chen Jiong Wu Bing Hu 《Chinese Medical Journal》 2025年第4期481-483,共3页
To the Editor:Gastroscopy is considered to be the main method for diagnosing gastric lesions.[1]But correctly diagnosing different gastric lesions under white light endoscopy(WLE)may be challenging as the morphologica... To the Editor:Gastroscopy is considered to be the main method for diagnosing gastric lesions.[1]But correctly diagnosing different gastric lesions under white light endoscopy(WLE)may be challenging as the morphological manifestations of gastric lesions are varied and some are even subtle.Due to the uneven diagnostic levels across various regions and the scarcity of experienced endoscopists,misdiagnosis and missed diagnosis may occur.In addition,endoscopists are overwhelmed by heavy workloads,and fatigue may lead to a further decline in diagnostic performance,even for experienced endoscopists. 展开更多
关键词 diagnosing gastric lesions deep learning white light endoscopy wle may DIAGNOSIS gastric lesions white light endoscopy WORKLOAD FATIGUE
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Endoscopic ultrasound-based artificial intelligence for gastrointestinal subepithelial lesions
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作者 Huan Jiang Liansong Ye +3 位作者 xianglei yuan Qi Luo Nuoya Zhou Bing Hu 《EngMedicine》 2025年第2期41-47,共7页
Gastrointestinal subepithelial lesions(SELs),including gastrointestinal stromal tumors(GISTs),leiomyomas,and neuroendocrine tumors(NETs),are intramural lesions found beneath the mucosa of the gastrointestinal tract.Th... Gastrointestinal subepithelial lesions(SELs),including gastrointestinal stromal tumors(GISTs),leiomyomas,and neuroendocrine tumors(NETs),are intramural lesions found beneath the mucosa of the gastrointestinal tract.These lesions can be benign,malignant,or potentially malignant.Therefore,accurately distinguishing between different types and assessing malignant potential is essential for establishing appropriate treatment plans and predicting patient outcomes.Endoscopic ultrasound(EUS)is recognized as the preferred method for diagnosing SELs.While certain lesions can be identified by their echogenic features alone,a histological examination is often necessary,potentially increasing patient risk.Artificial intelligence(AI)has demonstrated impressive capabilities in medical image recognition and offers significant potential for the non-invasive assessment of SELs.It achieves this by extracting key features from EUS images and applying them to classify or segment the images.This paper reviews recent advances in the application of AI to assist EUS in diagnosing SELs. 展开更多
关键词 Artificial intelligence Convolutional neural network Endoscopic ultrasound Gastrointestinal subepithelial lesions Gastrointestinal stromal tumor
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Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesions
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作者 Nuoya Zhou xianglei yuan +3 位作者 Wei Liu Qi Luo Ruide Liu Bing Hu 《Chinese Medical Journal》 2025年第12期1387-1398,共12页
Esophageal squamous cell carcinoma(ESCC)poses a significant global health challenge,necessitating early detection,timely diagnosis,and prompt treatment to improve patient outcomes.Endoscopic examination plays a pivota... Esophageal squamous cell carcinoma(ESCC)poses a significant global health challenge,necessitating early detection,timely diagnosis,and prompt treatment to improve patient outcomes.Endoscopic examination plays a pivotal role in this regard.However,despite the availability of various endoscopic techniques,certain limitations can result in missed or misdiagnosed ESCCs.Currently,artificial intelligence(AI)-assisted endoscopic diagnosis has made significant strides in addressing these limitations and improving the diagnosis of ESCC and precancerous lesions.In this review,we provide an overview of the current state of AI applications for endoscopic diagnosis of ESCC and precancerous lesions in aspects including lesion characterization,margin delineation,invasion depth estimation,and microvascular subtype classification.Furthermore,we offer insights into the future direction of this field,highlighting potential advancements that can lead to more accurate diagnoses and ultimately better prognoses for patients. 展开更多
关键词 Artificial intelligence ENDOSCOPY Esophageal squamous cell carcinoma Precancerous lesions
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Biliary spontaneous dislodgement spiral stent for short-term biliary drainage in patients undergoing complete stone removal:A randomized controlled study
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作者 Liansong Ye Lifan Zhang +11 位作者 Yi Mou xianglei yuan Wei Liu Chuncheng Wu Yonghong Luo Jiang Du Shuai Bai Jia Xie Qiongying Zhang Qinghua Tan Ling Liu Bing Hu 《Chinese Medical Journal》 SCIE CAS CSCD 2024年第11期1363-1365,共3页
To the Editor:Endoscopic retrograde cholangiopancreatography(ERCP)is strongly recommended for stone removal of choledocholithiasis.But there is still risk of complications such as post-ERCP cholangitis(PEC)and post-ER... To the Editor:Endoscopic retrograde cholangiopancreatography(ERCP)is strongly recommended for stone removal of choledocholithiasis.But there is still risk of complications such as post-ERCP cholangitis(PEC)and post-ERCP pancreatitis(PEP).Biliary drainage including endoscopic nasobiliary drainage(ENBD)and biliary stent is considered to reduce the occurrence of PEC and PEP.However,the ENBD tube will cause patient discomfort,and some patients may extract the tube by themselves.Furthermore,additional endoscopic stent removal is required after insertion of conventional biliary stent for short-term biliary drainage,increasing medical costs. 展开更多
关键词 BILIARY PATIENTS STENT
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