AIMC Topic: Hepatic Encephalopathy
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A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.
JMIR medical informatics
Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ...
Generative AI in hepatology: Transforming multimodal patient-generated data into actionable insights.
Hepatology communications
Jul 14, 2025
Cirrhosis care is inherently complex, marked by a high risk of acute decompensation and significant morbidity and mortality. Traditional episodic care models provide static snapshots of a patient's condition, limiting the ability to address dynamic c...
Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.
Journal of translational medicine
Jul 4, 2025
BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating complications related to portal hypertension in patients with liver cirrhosis, is often associated with an increased risk of postoperative complications...
Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.
Hepatology (Baltimore, Md.)
Oct 8, 2024
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in cirrhosis research, but it is often inaccurate and augmented by labor-intensive chart review. Natural language processing using large language models (...
Picture Perfect: Artificial Intelligence in the Management of Hepatic Encephalopathy.
The American journal of gastroenterology
Feb 16, 2024
Artificial Intelligence-Enabled Stool Analysis for Lactulose Titration Assistance in Hepatic Encephalopathy Through a Smartphone Application.
The American journal of gastroenterology
Jan 19, 2024
INTRODUCTION: Management of hepatic encephalopathy relies on self-titration of lactulose. In this feasibility trial, we assess an artificial intelligence-enabled tool to guide lactulose use through a smartphone application.
Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.
The American journal of gastroenterology
Dec 28, 2023
Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially,...
Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure.
BMC gastroenterology
Mar 13, 2020
BACKGROUND: This study aimed to develop prognostic models for predicting 28- and 90-day mortality rates of hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF) through artificial neural network (ANN) systems.
Identification of patients with and without minimal hepatic encephalopathy based on gray matter volumetry using a support vector machine learning algorithm.
Scientific reports
Feb 12, 2020
Minimal hepatic encephalopathy (MHE) is characterized by diffuse abnormalities in cerebral structure, such as reduced cortical thickness and altered brain parenchymal volume. This study tested the potential of gray matter (GM) volumetry to differenti...
Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Alanine Transaminase
Aspartate Aminotransferases
Bilirubin
Liver Cirrhosis, Alcoholic
Hemoglobins
Sodium
Platelet Count
Severity of Illness Index
Endoscopy, Digestive System
Aged
Hepatitis C, Chronic
Liver Cirrhosis
Humans
Thrombocytopenia
Mass Screening
Gastrointestinal Hemorrhage
Esophageal and Gastric Varices
Male
Machine Learning
International Normalized Ratio
Ascites
Middle Aged
Prospective Studies
Hepatic Encephalopathy
Creatinine
Female
Risk Assessment
Serum Albumin
Non-alcoholic Fatty Liver Disease
Blood Urea Nitrogen
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