AIMC Topic: Liver Cirrhosis
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Gd-EOB-DTPA-enhanced MRI Image Characteristics and Radiomics Characteristics Combined with Machine Learning for Assessment of Functional Liver Reserve.
Current medical imaging
Jan 1, 2024
OBJECTIVE: To investigate the feasibility of image characteristics and radiomics combined with machine learning based on Gd-EOB-DTPA-enhanced MRI for functional liver reserve assessment in cirrhotic patients.
Deep learning to predict esophageal variceal bleeding based on endoscopic images.
The Journal of international medical research
Oct 1, 2023
OBJECTIVE: Esophageal varix (EV) bleeding is a particularly serious complications of cirrhosis. Prediction of EV bleeding requires extensive endoscopy experience; it remains unreliable and inefficient. This retrospective cohort study evaluated the fe...
Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH.
Cell reports. Medicine
Apr 18, 2023
Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease globally and a leading cause for liver transplantation in the US. Its pathogenesis remains imprecisely defined. We combined two high-resolution modalities to tissue samples ...
Development of a Web Application based on Machine Learning for screening esophageal varices in cirrhosis.
La Tunisie medicale
Jan 1, 2023
INTRODUCTION: Esophageal varices (EV) are a common manifestation of portal hypertension in cirrhotic patients. Upper gastrointestinal endoscopy (UGE) is the gold standard for diagnosing EV. However, it is an invasive examination with a relatively hig...
Hepatic Hydrothorax Without Ascites: A Diagnostic And Management Challenge.
Journal of Ayub Medical College, Abbottabad : JAMC
Jan 1, 2023
Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with cirrhosis who does not have other reasons to have a pleural effusion (e.g., cardiac, pulmonary, or pleural disease). Hepatic hydrothorax occurs in ap...
Deep learning for assessing liver fibrosis based on acoustic nonlinearity maps: an in vivo study of rabbits.
Computer assisted surgery (Abingdon, England)
Dec 1, 2022
This study aimed to assess liver fibrosis in rabbits by deep learning models based on acoustic nonlinearity maps. Injection of carbon tetrachloride was used to induce liver fibrosis. Acoustic nonlinearity maps, which were built by data of echo signal...
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
The Lancet. Digital health
Mar 1, 2022
BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often diagnosed once decompensation with associated complications has occurred. Current non-invasive tests to detect advanced liver fibrosis have limited perf...
Detection of all-cause advanced hepatic fibrosis using an ensemble machine learning framework.
The Lancet. Digital health
Mar 1, 2022
Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis.
The American journal of gastroenterology
Mar 1, 2022
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-relat...
Artificial Intelligence and the Risk for Intuition Decline in Clinical Medicine.
The American journal of gastroenterology
Mar 1, 2022
Artificial intelligence (AI) is revolutionizing big data analytics. In this issue of The American Journal of Gastroenterology, Ahn et al. introduce the AI-cirrhosis-electrocardiogram score that can grade the electrophysiologic cardiac changes present...
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