AIMC Topic: Cholangiopancreatography, Endoscopic Retrograde
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A deep learning-driven method for safe and effective ERCP cannulation.
International journal of computer assisted radiology and surgery
Feb 7, 2025
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
Jan 18, 2025
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
Jan 16, 2025
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
Dec 30, 2024
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
Aug 28, 2024
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...
Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection.
Gastrointestinal endoscopy
Aug 13, 2024
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis se...
Stents
Cholangiopancreatography, Endoscopic Retrograde
Pancreatitis
Pancreatic Ducts
Anti-Inflammatory Agents, Non-Steroidal
Area Under Curve
Fluid Therapy
Administration, Rectal
Aged
Male
Prospective Studies
Point-of-Care Systems
Clinical Decision-Making
Female
Middle Aged
Humans
Risk Factors
Risk Assessment
Machine Learning
Pilot Projects
ROC Curve
Risk prediction of cholangitis after stent implantation based on machine learning.
Scientific reports
Jun 14, 2024
The risk of cholangitis after ERCP implantation in malignant obstructive jaundice patients remains unknown. To develop models based on artificial intelligence methods to predict cholangitis risk more accurately, according to patients after stent impl...
Duodenal papilla radiomics-based prediction model for post-ERCP pancreatitis using machine learning: a retrospective multicohort study.
Gastrointestinal endoscopy
Apr 6, 2024
BACKGROUND AND AIMS: The duodenal papillae are the primary and essential pathway for ERCP, greatly determining its complexity and outcome. We investigated the association between papilla morphology and post-ERCP pancreatitis (PEP) and constructed a r...
Multistep validation of a post-ERCP pancreatitis prediction system integrating multimodal data: a multicenter study.
Gastrointestinal endoscopy
Apr 5, 2024
BACKGROUND AND AIMS: The impact of various categories of information on the prediction of post-ERCP pancreatitis (PEP) remains uncertain. We comprehensively investigated the risk factors associated with PEP by constructing and validating a model inco...
Using deep learning models in magnetic resonance cholangiopancreatography images to diagnose common bile duct stones.
Scandinavian journal of gastroenterology
Sep 15, 2023
BACKGROUNDS AND AIMS: Magnetic resonance cholangiopancreatography (MRCP) plays a significant role in diagnosing common bile duct stones (CBDS). Currently, there are no studies to detect CBDS by using the deep learning (DL) model in MRCP. This study a...
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