Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction  

作　　者：Aaron R Brenner Passisd Laoveeravat Patrick J Carey Danielle Joiner Samuel H Mardini Manol Jovani 

机构地区：[1]Department of Internal Medicine,University of Kentucky College of Medicine,Lexington,KY 40536,United States [2]Division of Digestive Diseases and Nutrition,University of Kentucky College of Medicine,Lexington,KY 40536,United States [3]Division of Digestive Diseases and Nutrition,University of Kentucky College of Medicine,Lexington,KENTUCKY 40536,United States [4]Digestive Diseases and Nutrition,University of Kentucky Albert B.Chandler Hospital,Lexington,KY 40536,United States

出　　处：《Artificial Intelligence in Gastroenterology》2022年第3期88-95,共8页胃肠病学中的人工智能（英文）

摘　　要：While cholangiocarcinoma represents only about 3%of all gastrointestinal tumors,it has a dismal survival rate,usually because it is diagnosed at a late stage.The utilization of Artificial Intelligence(AI)in medicine in general,and in gastroenterology has made gigantic steps.However,the application of AI for biliary disease,in particular for cholangiocarcinoma,has been sub-optimal.The use of AI in combination with clinical data,cross-sectional imaging(computed tomography,magnetic resonance imaging)and endoscopy(endoscopic ultrasound and cholangioscopy)has the potential to significantly improve early diagnosis and the choice of optimal therapeutic options,leading to a transformation in the prognosis of this feared disease.In this review we summarize the current knowledge on the use of AI for the diagnosis and management of cholangiocarcinoma and point to future directions in the field.

关 键 词：CHOLANGIOCARCINOMA Artificial intelligence CHOLANGIOSCOPY Artificial neural network Machine learning Therapeutic endoscopy Endoscopic ultrasound 

分 类 号：R73[医药卫生—肿瘤]