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
Artificial intelligence(AI)has been increasingly utilized in medical applications,especially in the field of gastroenterology.AI can assist gastroenterologists in imaging-based testing and prediction of clinical diagn...Artificial intelligence(AI)has been increasingly utilized in medical applications,especially in the field of gastroenterology.AI can assist gastroenterologists in imaging-based testing and prediction of clinical diagnosis,for examples,detecting polyps during colonoscopy,identifying small bowel lesions using capsule endoscopy images,and predicting liver diseases based on clinical parameters.With its high mortality rate,pancreatic cancer can highly benefit from AI since the early detection of small lesion is difficult with conventional imaging techniques and current biomarkers.Endoscopic ultrasound(EUS)is a main diagnostic tool with high sensitivity for pancreatic adenocarcinoma and pancreatic cystic lesion.The standard tumor markers have not been effective for diagnosis.There have been recent research studies in AI application in EUS and novel biomarkers to early detect and differentiate malignant pancreatic lesions.The findings are impressive compared to the available traditional methods.Herein,we aim to explore the utility of AI in EUS and novel serum and cyst fluid biomarkers for pancreatic cancer detection.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.
文摘Artificial intelligence(AI)has been increasingly utilized in medical applications,especially in the field of gastroenterology.AI can assist gastroenterologists in imaging-based testing and prediction of clinical diagnosis,for examples,detecting polyps during colonoscopy,identifying small bowel lesions using capsule endoscopy images,and predicting liver diseases based on clinical parameters.With its high mortality rate,pancreatic cancer can highly benefit from AI since the early detection of small lesion is difficult with conventional imaging techniques and current biomarkers.Endoscopic ultrasound(EUS)is a main diagnostic tool with high sensitivity for pancreatic adenocarcinoma and pancreatic cystic lesion.The standard tumor markers have not been effective for diagnosis.There have been recent research studies in AI application in EUS and novel biomarkers to early detect and differentiate malignant pancreatic lesions.The findings are impressive compared to the available traditional methods.Herein,we aim to explore the utility of AI in EUS and novel serum and cyst fluid biomarkers for pancreatic cancer detection.
