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 i...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.展开更多
文摘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.
