AIMC Topic: Cholangiopancreatography, Endoscopic Retrograde
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Artificial intelligence-assisted cholangioscopy of malignant biliary strictures: Changing the paradigm?
Gastrointestinal endoscopy
Dec 23, 2022
Artificial intelligence implementation in pancreaticobiliary endoscopy.
Expert review of gastroenterology & hepatology
Jun 14, 2022
INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms...
Future of Cholangioscopy.
Gastrointestinal endoscopy clinics of North America
May 11, 2022
This article highlights the current status of cholangioscopy. In addition, the authors present their view on the future directions of cholangioscopy, including novel clinical applications, the need for technologic developments, and the expansion on t...
Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation.
Scientific reports
Apr 16, 2021
The advancement of artificial intelligence (AI) has facilitated its application in medical fields. However, there has been little research for AI-assisted endoscopy, despite the clinical significance of the efficiency and safety of cannulation in the...
Artificial intelligence in biliopancreatic endoscopy: Is there any role?
Best practice & research. Clinical gastroenterology
Dec 29, 2020
Artificial intelligence (AI) research in endoscopy is being translated at rapid pace with a number of approved devices now available for use in luminal endoscopy. However, the published literature for AI in biliopancreatic endoscopy is predominantly ...
Intelligent difficulty scoring and assistance system for endoscopic extraction of common bile duct stones based on deep learning: multicenter study.
Endoscopy
Nov 9, 2020
BACKGROUND: The study aimed to construct an intelligent difficulty scoring and assistance system (DSAS) for endoscopic retrograde cholangiopancreatography (ERCP) treatment of common bile duct (CBD) stones.
The Challenges of Implementing Artificial Intelligence into Surgical Practice.
World journal of surgery
Oct 13, 2020
BACKGROUND: Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and i...
Humans
Middle Aged
Choledocholithiasis
Predictive Value of Tests
Computer Simulation
Bilirubin
Adult
Retrospective Studies
Biliary Tract Diseases
Aged
Liver Function Tests
Male
Female
Aged, 80 and over
Acute Disease
Artificial Intelligence
Cholangiopancreatography, Endoscopic Retrograde
Machine Learning
Provider-specific quality measurement for ERCP using natural language processing.
Gastrointestinal endoscopy
May 3, 2017
BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measures for colonoscopy. There are no systematic methods by which to track adherence to quality measures ...
Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP.
Revista espanola de enfermedades digestivas
Nov 1, 2024
The development and implementation of artificial intelligence (AI), particularly deep learning (DL) models, has generated significant interest across various fields of gastroenterology. While research in luminal endoscopy has seen rapid translation t...
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