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Deep Learning–Based Image Analysis of Liver Steatosis in Mouse Models

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Artificial Intelligence in NAFLD: Will Liver Biopsy Still Be Necessary in the Future?

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Liver biopsy in the quantitative assessment of liver fibrosis in nonalcoholic fatty liver disease

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Enhancing the accuracy of mid-infrared spectroscopy-based liver steatosis quantification using digital image analysis as a reference

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Automated Segmentation and Morphological Characterization of Hepatic Steatosis and Correlation with Histopathology

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Omics and AI advance biomarker discovery for liver disease

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Fatty Liver Disease

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Digital Pathology Tailored for Assessment of Liver Biopsies

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Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches

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A machine learning-based predictive model discriminates nonalcoholic steatohepatitis from nonalcoholic fatty liver disease

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Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells

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Accurate prediction of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease using electronic health records

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Quantitative digital pathology enables automated and quantitative assessment of inflammatory activity in patients with autoimmune hepatitis

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Liver fibrosis classification on trichrome histology slides using weakly supervised learning in children and young adults

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Developing a New qFIBS Model Assessing Histological Features in Pediatric Patients With Non-alcoholic Steatohepatitis

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A Paradigm Shift in Primary Liver Cancer Therapy Utilizing Genomics, Molecular Biomarkers, and Artificial Intelligence

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A Primer into the Current State of Artificial Intelligence in Gastroenterology

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Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images

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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features

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Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

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Object detection: A novel AI technology for the diagnosis of hepatocyte ballooning

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A novel model based on serum N‐glycan markers for evaluating stage of liver necroinflammation in treatment‐naïve chronic hepatitis B patients

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Quantifying Sagittal Craniosynostosis Severity: A Machine Learning Approach With CranioRate

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Morphometric Quantification of Steatosis and Fibrosis in Metabolic Liver Disease Associated With Type 2 Diabetes

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Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images

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PWE-093 Development and validation of an automated system for assessment of liver steatosis and fibrosis in routine: histological images in patients with non-alcoholic fatty liver disease

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Automated Quantitation of Steatosis, Fibrosis and Ballooning Using Machine Learning in Routine Histological Images of Liver Biopsies of Patients with NAFLD

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Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging

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