AIMC Topic: Liver Cirrhosis
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Machine-learning-based plasma metabolomic profiles for predicting long-term complications of cirrhosis.
Hepatology (Baltimore, Md.)
Apr 17, 2024
BACKGROUND AND AIMS: The complications of liver cirrhosis occur after long asymptomatic stages of progressive fibrosis and are generally diagnosed late. We aimed to develop a plasma metabolomic-based score tool to predict these events.
A natural language processing algorithm accurately classifies steatotic liver disease pathology to estimate the risk of cirrhosis.
Hepatology communications
Mar 29, 2024
BACKGROUND: Histopathology remains the gold standard for diagnosing and staging metabolic dysfunction-associated steatotic liver disease (MASLD). The feasibility of studying MASLD progression in electronic medical records based on histological featur...
Artificial intelligence compared with human-derived patient educational materials on cirrhosis.
Hepatology communications
Feb 14, 2024
BACKGROUND: The study compared the readability, grade level, understandability, actionability, and accuracy of standard patient educational material against artificial intelligence chatbot-derived patient educational material regarding cirrhosis.
Accurate Liver Fibrosis Detection Through Hybrid MRMR-BiLSTM-CNN Architecture with Histogram Equalization and Optimization.
Journal of imaging informatics in medicine
Feb 13, 2024
The early detection and accurate diagnosis of liver fibrosis, a progressive and potentially serious liver condition, are crucial for effective medical intervention. Invasive methods like biopsies for diagnosis can be risky and expensive. This researc...
NAIF: A novel artificial intelligence-based tool for accurate diagnosis of stage F3/F4 liver fibrosis in the general adult population, validated with three external datasets.
International journal of medical informatics
Feb 10, 2024
OBJECTIVE: The purpose of this study was to determine the effectiveness of a new AI-based tool called NAIF (NAFLD-AI-Fibrosis) in identifying individuals from the general population with advanced liver fibrosis (stage F3/F4). We compared NAIF's perfo...
ChatGPT's ability to comprehend and answer cirrhosis related questions: Comment.
Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology
Jan 16, 2024
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,...
Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats.
Magnetic resonance imaging
Dec 24, 2023
OBJECTIVES: To validate the performance of nnU-Net in segmentation and CNN in classification for liver fibrosis using T1-weighted images.
Integrated Bioinformatics and Validation Reveal and Its Related Molecules as Potential Identifying Genes in Liver Cirrhosis.
Biomolecules
Dec 21, 2023
Liver cirrhosis remains a significant global public health concern, with liver transplantation standing as the foremost effective treatment currently available. Therefore, investigating the pathogenesis of liver cirrhosis and developing novel therapi...
Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis.
Hepatology (Baltimore, Md.)
Dec 19, 2023
BACKGROUND AND AIMS: Artificial intelligence-powered digital pathology offers the potential to quantify histological findings in a reproducible way. This analysis compares the evaluation of histological features of NASH between pathologists and a mac...
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