AIMC Topic: Cholangiopancreatography, Endoscopic Retrograde

Clear Filters Showing 1 to 10 of 28 articles

Performance of Clinical Risk Prediction Models for Post-ERCP Pancreatitis: A Systematic Review.

Pancreas
OBJECTIVES: Pancreatitis is common following endoscopic retrograde cholangiopancreatography (ERCP). Despite increased vigilance of post-ERCP pancreatitis (PEP), both its incidence and associated mortality are rising. Risk prediction models may provid...

Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

Surgical endoscopy
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatment for patients with unresectable malignant biliary obstruction (MBO), which can relieve biliary obstruction and prolong survival. Post-ERCP cholangi...

Advances in intraoperative imaging technologies for complex biliary disease.

Seminars in pediatric surgery
Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improving visualization and reducing complications. This review examines intraoperative cholangiography (IOC), fluorescent cholangiography (FC) with indocya...

Avoiding the complications of endoscopic retrograde cholangiopancreatography.

Current opinion in gastroenterology
PURPOSE OF REVIEW: To review the literature within the past 5 years on risk factors and prophylactic measures for avoiding the complications of endoscopic retrograde cholangiopancreatography (ERCP), including post-ERCP pancreatitis (PEP), post-ERCP c...

A deep learning-driven method for safe and effective ERCP cannulation.

International journal of computer assisted radiology and surgery
PURPOSE: In recent years, the detection of the duodenal papilla and surgical cannula has become a critical task in computer-assisted endoscopic retrograde cholangiopancreatography (ERCP) cannulation operations. The complex surgical anatomy, coupled w...

The Role of Artificial Intelligence for Advanced Endoscopy.

Gastrointestinal endoscopy clinics of North America
Artificial intelligence (AI) application in gastroenterology has grown in the last decade and continues to evolve very rapidly. Early promising results have opened the door to explore its potential application to advanced endoscopy (AE). The aim of t...

Machine learning-based prediction for incidence of endoscopic retrograde cholangiopancreatography after emergency laparoscopic cholecystectomy: A retrospective, multicenter cohort study.

Surgical endoscopy
BACKGROUND: Laparoscopic cholecystectomy is the preferred treatment for symptomatic cholelithiasis and acute cholecystitis, with increasing applications even in severe cases. However, the possibility of postoperative endoscopic retrograde cholangiopa...

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Journal of digestive diseases
Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary diseases. However, it does not fully meet clinical needs, which presents challenges such as significant difficulty in operation and risks of missed diagn...

Meta-analysis of the effectiveness of early endoscopic treatment of Acute biliary pancreatitis based on lightweight deep learning model.

BMC gastroenterology
BACKGROUND: Acute biliary pancreatitis (ABP) is a clinical common acute abdomen. After the first pancreatitis, relapse rate is high, which seriously affects human life and health and causes great economic burdens to family and society. According to a...