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...
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 ...
Endoscopic retrograde cholangiopancreatography (ERCP) is a widely used diagnostic and therapeutic procedure for pancreaticobiliary diseases. However, its relatively invasive nature necessitates a thorough understanding of potential adverse events and...
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...
Revista espanola de enfermedades digestivas
Apr 1, 2022
An 87-year-old female was admitted for endoscopic retrograde cholangiopancreatography (ERCP) due to obstructive jaundice. On admission, total bilirubin was 15 mg/dl at the expense of direct bilirubin, GOT 356 U/l mg/dl, GPT 174 U/l, FA 2,358 U/l and ...
Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potentially reduce hospital length of stay (HLOS). Patients undergoing same-day procedures (N = 164) between 2012 and 2014 were compared with different-day ...
OBJECTIVE: The aim of this study is to analyze perioperative outcomes of robotic reconstruction of iatrogenic biliary injuries and describe the surgical technique in detail.
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