Advancements in Barrett's esophagus detection:The role of artificial intelligence and its implications  

作　　者：Sara Massironi 

机构地区：[1]Division of Gastroenterology and Center for Autoimmune Liver Diseases,Department of Medicine and Surgery,Fondazione IRCCS San Gerardo dei Tintori,University of Milano-Bicocca,Monza 20900,Italy

出　　处：《World Journal of Gastroenterology》2024年第11期1494-1496,共3页世界胃肠病学杂志（英文版）

摘　　要：Artificial intelligence(AI)is making significant strides in revolutionizing the detection of Barrett's esophagus(BE),a precursor to esophageal adenocarcinoma.In the research article by Tsai et al,researchers utilized endoscopic images to train an AI model,challenging the traditional distinction between endoscopic and histological BE.This approach yielded remarkable results,with the AI system achieving an accuracy of 94.37%,sensitivity of 94.29%,and specificity of 94.44%.The study's extensive dataset enhances the AI model's practicality,offering valuable support to endoscopists by minimizing unnecessary biopsies.However,questions about the applicability to different endoscopic systems remain.The study underscores the potential of AI in BE detection while highlighting the need for further research to assess its adaptability to diverse clinical settings.

关 键 词：Barrett's esophagus Artificial intelligence Endoscopic images Artificial intelligence model Early cancer detection ENDOSCOPY 

分 类 号：R735.1[医药卫生—肿瘤]