Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: To address the lack of simple tools for assessing fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD), this study develops a machine learning-based diagnostic model to identify patients at high risk of significant fibrosis and advanced fibrosis. METHODS: Data from biopsy-proven MASLD patients were randomly divided into training and validation sets. Variables we...
AIMS: Liver biopsy has shown prognostic significance in primary sclerosing cholangitis (PSC). However, histology is typically assessed manually based on coarse grading scales, making precise quantification difficult. We developed a neural network model to address the key histological features of liver tissue, including portal tracts, fibrosis, biliary epithelium, portal inflammation, and vasculatu...
PURPOSE: To evaluate the impact of image reconstruction algorithms on histogram analysis of iodine concentration (IC) derived from dual-energy CT (DEC...
Intravoxel incoherent motion (IVIM) analysis in diffusion-weighted MRI (DWI-MRI) shows potential for characterizing pancreatic tissue, but its clinica...
ETHNOPHARMACOLOGICAL RELEVANCE: Jianpi Bushen Qingchang Huashi Formula (JBQHF) is a traditional Chinese medicine compound of nine herbal ingredients c...
Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...
Postmenopausal osteoporosis represents a systemic skeletal condition distinguished by diminished bone mass and heightened skeletal fragility. Emerging...
Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, continue to be a dominant factor in cancer-related...
Traditional classifications of metabolic dysfunction-associated steatotic liver disease (MASLD) based on histology or biochemical traits are insuffici...
BACKGROUND: Autoimmune gastritis (AIG), a chronic inflammatory disease associated with various comorbidities and complications, is often subject to mi...
BACKGROUND AND AIMS: Artificial intelligence (AI)-assisted endoscopy represents a promising approach for lesion detection, yet frequent false-positive...
BACKGROUND AND AIMS: Ulcerative colitis (UC) is characterized by disruptions of the gut microbiome and an exaggerated mucosal immune response in genet...
This preliminary study evaluated the feasibility of a dual-navigation strategy that integrates artificial intelligence (AI)-assisted identification of...
Pancreatic islets, in which β cells constitute 50%-80% of the endocrine mass, are the body's site for glucose-regulated insulin secretion. Pancreatic ...
OBJECTIVE: To develop and validate a histology-based model for predicting a stromal stiffness-related molecular surrogate in pancreatic ductal adenoca...
BackgroundThe integration of gastrointestinal (GI) tissue biology with modern stapler mechanics remains a critical gap in optimizing surgical outcomes...
Cyclohexane-1,2-dicarboxylic acid diisononyl ester (DINCH), as a "green" alternative to phthalates, has been widely used in consumer products and indu...
INTRODUCTION: Hepatocellular carcinoma (HCC) is a highly aggressive malignancy characterized by limited therapeutic options and significant cellular h...
Hepatocellular carcinoma is one of the most lethal malignancies for humans. Assessing the clinical outcomes of HCC remains challenging. In this study,...
N: (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and ha...