AIMC Topic: Cholestasis

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Leveraging machine learning for precision medicine: a predictive model for cognitive impairment in cholestasis patients.

BMC gastroenterology Mar 18, 2025
BACKGROUND: Cholestasis, characterized by impaired bile flow, impacts cognitive function through systemic mechanisms, including inflammation and metabolic dysregulation. Despite its significance, targeted predictive models for cognitive impairment in...
Humans Machine Learning Precision Medicine Male Middle Aged Cognitive Dysfunction Cholestasis Female Aged Adult
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Artificial intelligence for automatic diagnosis and pleomorphic morphological characterization of malignant biliary strictures using digital cholangioscopy.

Scientific reports Feb 14, 2025
Diagnosing and characterizing biliary strictures (BS) remains challenging. Artificial intelligence (AI) applied to digital single-operator cholangioscopy (D-SOC) holds promise for improving diagnostic accuracy in indeterminate BS. This multicenter st...
Bile Duct Neoplasms Endoscopy, Digestive System Cholestasis Humans Male Female Middle Aged Neural Networks, Computer Aged Constriction, Pathologic Sensitivity and Specificity Artificial Intelligence
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Multimodal convolutional neural network-based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video).

Gastrointestinal endoscopy Sep 13, 2024
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for ...
Convolutional Neural Networks ROC Curve Diagnosis, Differential Middle Aged Diagnosis, Computer-Assisted Deep Learning Proof of Concept Study Cholangiocarcinoma Endoscopy, Digestive System Constriction, Pathologic Video Recording Bile Duct Neoplasms Neural Networks, Computer Algorithms Female Aged Sensitivity and Specificity Male Humans Biliary Tract Neoplasms Cholestasis Cholangitis
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Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study.

Computers in biology and medicine Apr 16, 2024
Cholestasis, characterized by the obstruction of bile flow, poses a significant concern in neonates and infants. It can result in jaundice, inadequate weight gain, and liver dysfunction. However, distinguishing between biliary atresia (BA) and non-bi...
Support Vector Machine Early Diagnosis Biliary Atresia Cholestasis Infant, Newborn Humans Male Machine Learning Infant Female
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Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning support.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Apr 3, 2024
BACKGROUND: Serum transaminases, alkaline phosphatase and bilirubin are common parameters used for DILI diagnosis, classification, and prognosis. However, the relevance of clinical examination, histopathology and drug chemical properties have not bee...
Chemical and Drug Induced Liver Injury Cholestasis Phenotype Databases, Factual Prognosis Humans Machine Learning
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Diagnosing malignant distal bile duct obstruction using artificial intelligence based on clinical biomarkers.

Scientific reports Feb 24, 2023
Diagnosing distal bile duct obstruction remains challenging. This study aimed to examine the diagnostic ability of artificial intelligence (AI) based on clinical biomarkers in diagnosing malignant distal bile duct obstruction. A total of 206 patients...
Artificial Intelligence Biomarkers Retrospective Studies Humans ROC Curve Bile Ducts Cholestasis
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Artificial intelligence-assisted cholangioscopy of malignant biliary strictures: Changing the paradigm?

Gastrointestinal endoscopy Dec 23, 2022
Humans Artificial Intelligence Endoscopy, Digestive System Cholestasis Constriction, Pathologic Cholangiopancreatography, Endoscopic Retrograde Catheterization
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Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video).

Gastrointestinal endoscopy Aug 22, 2022
BACKGROUND AND AIMS: Accurately diagnosing malignant biliary strictures (MBSs) as benign or malignant remains challenging. It has been suggested that direct visualization and interpretation of cholangioscopy images provide greater accuracy for strict...
Humans Artificial Intelligence Prospective Studies Deep Learning Cholestasis Constriction, Pathologic
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Robotic Revision of Hepaticojejunostomy for Benign Biliary Stricture.

The American surgeon May 15, 2022
Surgical revision of biliary enteric anastomoses (BEA) can be a challenging undertaking and a robotic platform may provide advantages that address many of the technical obstacles. We present our technical approach and outcomes for patients undergoing...
Cholestasis Humans Robotic Surgical Procedures Retrospective Studies Constriction, Pathologic Postoperative Complications Treatment Outcome Reoperation Liver Robotics
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Robotic biliary surgery for benign and malignant bile duct obstruction: a case series.

Journal of robotic surgery Mar 21, 2022
The majority of patients with benign or malignant biliary obstruction require surgical treatment with a bilio-enteric anastomosis. This requires fine dissection and advanced suturing. Robotic surgery may overcome some major limitations of conventiona...
Robotic Surgical Procedures Humans Biliary Tract Surgical Procedures Robotics Cholestasis Laparoscopy
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