AIMC Topic: Biliary Tract Diseases
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Deep Learning Methods in the Imaging of Hepatic and Pancreaticobiliary Diseases.
Journal of clinical gastroenterology
Apr 11, 2025
Reports indicate a growing role for artificial intelligence (AI) in the evaluation of pancreaticobiliary and hepatic conditions. A key focus is differentiating between benign and malignant lesions, which is crucial for treatment decisions. AI improve...
Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.
Scientific reports
Feb 8, 2025
Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. Missing data was imputed u...
Integrating artificial intelligence with endoscopic ultrasound in the early detection of bilio-pancreatic lesions: Current advances and future prospects.
Best practice & research. Clinical gastroenterology
Jan 4, 2025
The integration of Artificial Intelligence (AI) in endoscopic ultrasound (EUS) represents a transformative advancement in the early detection and management of biliopancreatic lesions. This review highlights the current state of AI-enhanced EUS (AI-E...
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...
Deep Learning Reconstruction for Enhanced Resolution and Image Quality in Breath-Hold MRCP: A Preliminary Study.
Journal of computer assisted tomography
Nov 13, 2024
OBJECTIVE: This preliminary study aims to assess the image quality of enhanced-resolution deep learning reconstruction (ER-DLR) in magnetic resonance cholangiopancreatography (MRCP) and compare it with non-ER-DLR MRCP images.
Current and Emerging Applications of Artificial Intelligence (AI) in the Management of Pancreatobiliary (PB) disorders.
Current gastroenterology reports
Aug 12, 2024
PURPOSE OF REVIEW: In this review, we aim to summarize the existing literature and future directions on the use of artificial intelligence (AI) for the diagnosis and treatment of PB (pancreaticobiliary) disorders. RECENT FINDINGS: AI models have been...
The robotic-assisted laparoscopic approach to biliary tract resection and reconstruction for benign indications: A single-center experience.
World journal of surgery
Dec 13, 2023
BACKGROUND: Benign biliary disease (BBD) is a prevalent condition involving patients who require extrahepatic bile duct resections and reconstructions due to nonmalignant causes.
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...
Choledocholithiasis
Biliary Tract Diseases
Humans
Cholangiopancreatography, Endoscopic Retrograde
Artificial Intelligence
Bilirubin
Aged
Machine Learning
Computer Simulation
Liver Function Tests
Aged, 80 and over
Middle Aged
Adult
Retrospective Studies
Predictive Value of Tests
Male
Female
Acute Disease
Applications of artificial intelligence in pancreatic and biliary diseases.
Journal of gastroenterology and hepatology
Feb 1, 2021
The application of artificial intelligence (AI) in medicine has increased rapidly with respect to tasks including disease detection/diagnosis, risk stratification, and prognosis prediction. With recent advances in computing power and algorithms, AI h...
Artificial intelligence in pancreaticobiliary endoscopy.
Journal of gastroenterology and hepatology
Jan 1, 2021
Artificial intelligence (AI) applications in health care have exponentially increased in recent years, and a few of these are related to pancreatobiliary disorders. AI-based methods were applied to extract information, in prognostication, to guide cl...
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