AIMC Topic: Liver
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Liver Fat Fraction and Machine Learning Improve Steatohepatitis Diagnosis in Liver Transplant Patients.
NMR in biomedicine
Jul 1, 2025
Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and elastography as robust, non-invasive biomarkers for diagnosing steatohepatitis in liver transplant patients, validated through decision tree analysis....
Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.
Liver international : official journal of the International Association for the Study of the Liver
Jul 1, 2025
BACKGROUND: Steatotic liver disease (SLD) is the most common liver disease worldwide, affecting 30% of the global population. It is strongly associated with the interplay of genetic and lifestyle-related risk factors. The genetic variant accounting f...
Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.
Toxicological sciences : an official journal of the Society of Toxicology
Jul 1, 2025
Transcriptomic analyses have been an effective approach to investigate the biological responses and metabolic perturbations by environmental contaminants in rodent models. However, it is well recognized that metabolic networks are highly connected an...
Development of an AI model for DILI-level prediction using liver organoid brightfield images.
Communications biology
Jun 7, 2025
AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. Importantly, real-time brightfield imaging has advantages of informativeness, non-destructive nature, and low cost ov...
A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.
Food research international (Ottawa, Ont.)
Jun 1, 2025
Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses significant environmental and health risks. This study quantified 15 PFAS compounds across various tissues (liver, kidney, gill, muscle, skin, lung, b...
Deep learning for liver lesion segmentation and classification on staging CT scans of colorectal cancer patients: a multi-site technical validation study.
Clinical radiology
Jun 1, 2025
AIM: To validate a liver lesion detection and classification model using staging computed tomography (CT) scans of colorectal cancer (CRC) patients.
A Pilot Study on Deep Learning With Simplified Intravoxel Incoherent Motion Diffusion-Weighted MRI Parameters for Differentiating Hepatocellular Carcinoma From Other Common Liver Masses.
Topics in magnetic resonance imaging : TMRI
Jun 1, 2025
OBJECTIVES: To develop and evaluate a deep learning technique for the differentiation of hepatocellular carcinoma (HCC) using "simplified intravoxel incoherent motion (IVIM) parameters" derived from only 3 b-value images.
Aged
Adult
Humans
Male
Image Processing, Computer-Assisted
Image Interpretation, Computer-Assisted
Middle Aged
Retrospective Studies
Liver
Diffusion Magnetic Resonance Imaging
Deep Learning
Female
Diagnosis, Differential
Pilot Projects
Reproducibility of Results
Motion
Liver Neoplasms
Carcinoma, Hepatocellular
Combining Deep Data-Driven and Physics-Inspired Learning for Shear Wave Speed Estimation in Ultrasound Elastography.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Jun 1, 2025
The shear wave elastography (SWE) provides quantitative markers for tissue characterization by measuring the shear wave speed (SWS), which reflects tissue stiffness. SWE uses an acoustic radiation force pulse sequence to generate shear waves that pro...
Uncovering hepatic transcriptomic and circulating proteomic signatures in MASH: A meta-analysis and machine learning-based biomarker discovery.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Metabolic-associated steatohepatitis (MASH), the progressive form of metabolic-associated steatotic liver disease (MASLD), poses significant risks for liver fibrosis and cardiovascular complications. Despite extensive research, reliable b...
Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images.
IEEE transactions on bio-medical engineering
Jun 1, 2025
Microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is a crucial histopathologic prognostic factor associated with cancer recurrence after liver transplantation or hepatectomy. Recently, clinicoradiologic characteristics are combined with ...
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