AIMC Topic: Liver Diseases
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MRI-derived quantification of hepatic vessel-to-volume ratios in chronic liver disease using a deep learning approach.
European radiology experimental
Aug 12, 2025
BACKGROUND: We aimed to quantify hepatic vessel volumes across chronic liver disease stages and healthy controls using deep learning-based magnetic resonance imaging (MRI) analysis, and assess correlations with biomarkers for liver (dys)function and ...
The unwell patient with advanced chronic liver disease: when to use each score?
BMC medicine
Jul 9, 2025
BACKGROUND: Prognostication in chronic liver disease and the implementation of appropriate scoring systems is difficult given the variety of clinical manifestations. It is important to understand the limitations of each scoring system as well as the ...
Precision Strike Strategy for Liver Diseases Trilogy with Xiao-Chai-Hu Decoction: A Meta-Analysis with Machine Learning.
Phytomedicine : international journal of phytotherapy and phytopharmacology
Apr 23, 2025
BACKGROUND AND PURPOSE: The progression from hepatitis to liver fibrosis (LF) and ultimately to hepatic carcinoma (HCC) represents the advanced stages of various liver diseases. Currently, no universal treatment effectively addresses all three condit...
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...
Quality review and content analysis of liver complications mobile apps in Iran: A statistical and machine learning approach.
International journal of medical informatics
Feb 17, 2025
BACKGROUND: Liver disease accounts for 4 % of global mortality. The advent of mobile technology has introduced a novel domain in liver disease management. Identifying effective mobile apps with pertinent information on liver diseases is essential. Th...
The Liver Intensive Care Unit.
Clinics in liver disease
Jan 30, 2025
Major advances in managing critically ill patients with liver disease have improved their prognosis and access to intensive care facilities. Acute-on-chronic liver failure (ACLF) is now a well-defined disease and these patients can be fast-tracked fo...
A machine learning based algorithm accurately stages liver disease by quantification of arteries.
Scientific reports
Jan 24, 2025
A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue and vascular changes per unit. We developed qVessel to quantify the arterial density (AD) in liver biopsies with chronic disease of varied etiology and ...
Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment.
Gut
Jan 17, 2025
Advancements in omics technologies and artificial intelligence (AI) methodologies are fuelling our progress towards personalised diagnosis, prognosis and treatment strategies in hepatology. This review provides a comprehensive overview of the current...
Toward efficient slide-level grading of liver biopsy via explainable deep learning framework.
Medical & biological engineering & computing
Jan 13, 2025
In the context of chronic liver diseases, where variability in progression necessitates early and precise diagnosis, this study addresses the limitations of traditional histological analysis and the shortcomings of existing deep learning approaches. ...
Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI.
European radiology
Jan 9, 2025
BACKGROUND: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.
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