AIMC Topic: Hepatic Encephalopathy

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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 (...
Humans Retrospective Studies Female Predictive Value of Tests Natural Language Processing Ascites Gastrointestinal Hemorrhage Hepatic Encephalopathy Aged Male Middle Aged Liver Cirrhosis
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Picture Perfect: Artificial Intelligence in the Management of Hepatic Encephalopathy.

The American journal of gastroenterology Feb 16, 2024
Humans Artificial Intelligence Hepatic Encephalopathy
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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.
Humans Artificial Intelligence Female Smartphone Mobile Applications Gastrointestinal Agents Feasibility Studies Hepatic Encephalopathy Aged Male Middle Aged Feces Lactulose
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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,...
Feces Smartphone Mobile Applications Liver Cirrhosis Lactulose Gastrointestinal Agents Hepatic Encephalopathy Aged Humans Adult Artificial Intelligence Male Female Middle Aged
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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.
Humans Neural Networks, Computer Prognosis Retrospective Studies Adult Male Hepatitis B Female Risk Factors Hepatic Encephalopathy Age Factors Sodium Acute-On-Chronic Liver Failure gamma-Glutamyltransferase Hepatitis B e Antigens Bilirubin Alkaline Phosphatase Prothrombin Time
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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...
Hepatic Encephalopathy Humans Female Adult Support Vector Machine Magnetic Resonance Imaging Gray Matter Male Middle Aged
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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...
Serum Albumin Blood Urea Nitrogen Liver Cirrhosis Mass Screening Endoscopy, Digestive System International Normalized Ratio Thrombocytopenia Esophageal and Gastric Varices Bilirubin Male Liver Cirrhosis, Alcoholic Prospective Studies Sodium Middle Aged Gastrointestinal Hemorrhage Ascites Hepatitis C, Chronic Humans Risk Assessment Hepatic Encephalopathy Creatinine Platelet Count Machine Learning Alanine Transaminase Severity of Illness Index Female Non-alcoholic Fatty Liver Disease Aged Aspartate Aminotransferases Hemoglobins
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Machine Learning Classification of Cirrhotic Patients with and without Minimal Hepatic Encephalopathy Based on Regional Homogeneity of Intrinsic Brain Activity.

PloS one Mar 15, 2016
Machine learning-based approaches play an important role in examining functional magnetic resonance imaging (fMRI) data in a multivariate manner and extracting features predictive of group membership. This study was performed to assess the potential ...
Adult Humans Support Vector Machine Machine Learning Male Magnetic Resonance Imaging Brain Middle Aged Hepatic Encephalopathy Female Liver Cirrhosis Nerve Net
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Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

World journal of gastroenterology Jan 28, 2025
BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for managing complications of portal hypertension, particularly acute variceal bleeding (AVB). While effective in reducing portal pressure and preventing re...
Portasystemic Shunt, Transjugular Intrahepatic Hypertension, Portal Esophageal and Gastric Varices Gastrointestinal Hemorrhage Risk Factors Kaplan-Meier Estimate Humans Hepatic Encephalopathy Machine Learning Aged Retrospective Studies Postoperative Complications Middle Aged Adult Female Logistic Models Risk Assessment Male Treatment Outcome
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[Evaluation of brain age changes in patients with liver cirrhosis and hepatic encephalopathy with deep learning models based on structural magnetic resonance imaging].

Zhonghua yi xue za zhi Jan 23, 2024
To investigate the brain aging in patients with cirrhosis and hepatic encephalopathy(HE), constructed a prediction model of brain age based on deep learning and T high-resolution MRI, and try to reveal the specific regions where cirrhosis and HE acc...
Hepatic Encephalopathy Cross-Sectional Studies Deep Learning Liver Cirrhosis Magnetic Resonance Imaging Humans Brain
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