Gastroenterology

Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, and its molecular...

Identification and Validation of Key Genes Involved in the Coupling of Mitochondria-Associated Endoplasmic Reticulum Membrane in Hemorrhoidal Disease.

BACKGROUND: Hemorrhoidal disease (HD) is the most prevalent rectal disorder, with various cellular p...

Modelling the liver's regenerative capacity across different clinical conditions.

BACKGROUND & AIMS: Liver regeneration is essential for recovery following injury, but this process c...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requirin...

Systematic Exploration of Potential Toxicity Targets and Molecular Mechanisms of Emerging Short-Chain PFAS Substitutes: PFBA- and PFBS-Induced Hepatocellular Carcinoma Based on Toxicity Network Analysis, Machine Learning, and Biomimetic Calculations.

Perfluorobutanoic acid (PFBA) and perfluorobutanesulfonic acid (PFBS) are short-chain alternatives t...

Unraveling the TEC-associated landscape in hepatocellular carcinoma: a comprehensive study based on multi-omics analyses.

The tumor microenvironment (TME) plays a pivotal role in tumor progression, immune evasion, and ther...

Advantages of deep learning reconstruction algorithm in ultra-high-resolution CT for the diagnosis of pancreatic cystic neoplasm.

PURPOSE: This study aimed to evaluate the image quality and clinical utility of a deep learning reco...

Comparison of an Attention-Based Multiple Instance Learning (MIL) With a Visual Transformer Model: Two Weakly Supervised Deep Learning (DL) Algorithms for the Detection of Histopathologic Lesions in the Rat Liver to Distinguish Normal From Abnormal.

The histopathologic evaluation of regulatory toxicity studies using artificial intelligence (AI) has...

Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients.

Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (I...

Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.

BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particula...

Two decades of progress in gastric cancer peritoneal metastasis: a bibliometric perspective on molecular mechanisms and therapeutic innovations.

BACKGROUND: Gastric cancer (GC) is the fifth most common malignant tumor worldwide. The peritoneum i...

Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration.

OBJECTIVE: Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine l...

Analysis of the clinical tumor stage and survival prognosis of rectal cancer patients on the basis of deep learning and imaging characteristics: An observational study.

Genome-wide Association Studies of the Pathogenic Sphingosine-1-Phosphate Gene in Ulcerative Colitis.

BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease that can lead to maligna...

Reevaluating Feature Selection in Machine Learning-Based Radiomics for Hepatocellular Carcinoma: Bridging the Gap Between Predictive Accuracy and Biological Relevance.

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformat...

Ultrasound image-based contrastive fusion non-invasive liver fibrosis staging algorithm.

OBJECTIVE: The diagnosis of liver fibrosis is usually based on histopathological examination of live...

Machine Learning for Predicting Colorectal Cancer and Advanced Colorectal Polyps: A Systematic Review and Meta-Analysis.

INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in ...

Pathomics in Gastrointestinal Tumors: Research Progress and Clinical Applications.

Gastrointestinal tumors are among the malignancies with the highest global incidence and mortality r...

Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.

INTRODUCTION: The rise in cases of Gastric Cancer has increased in recent times and demands accurate...