Gastroenterology

Comprehensive review on immunotherapy for hepatocellular carcinoma: Current status and future perspectives.

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global...

AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.

BACKGROUND: Endoscopic diagnosis of Ampulla of Vater (AoV) lesions remains challenging owing to comp...

Effectiveness of Machine Learning in Detecting Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.

BACKGROUND: Vessels encapsulating tumor clusters (VETC) are significantly associated with poor progn...

Nerves Stimulates Crosstalk between Gastric Cancer and Group 3 Innate Lymphoid Cells to Enhance Immunosuppression.

The immunosuppressive tumor microenvironment (TME) enables cancer cells to evade clinical immunother...

Impact of fine-grained learning rate configuration on the performance of medical image segmentation models.

Research on deep learning for medical image segmentation has shifted from single-modality networks t...

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-in...

Effect of Helicobacter pylori infection on deep learning-assisted detection of gastric neoplastic lesions under white light endoscopy.

BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesio...

Identification of modifiable plasma protein markers of cardiometabolic risk in children and adolescents with obesity.

Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and...

Modeling multidrug resistance in Campylobacter coli and Campylobacter jejuni isolated from swine at U.S. slaughter plants.

Antimicrobial-resistant and multidrug-resistant Campylobacter spp. poses a human health risk. A tota...

Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound.

Artificial intelligence (AI) is revolutionizing medical imaging, particularly in chronic liver disea...

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

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condit...

Integrated Single Cell Spatial Analysis Reveals Dysregulated Basal Progenitor Cells in Ulcerative Colitis Pathogenesis: A Multi Omics Study.

BACKGROUND AND AIMS: Ulcerative colitis (UC), a chronic inflammatory bowel disease, causes persisten...

The 2025 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board.

Using a systematic literature search of original articles published during 2025 in Gastrointestinal ...

Cost-effectiveness analysis of artificial intelligence (AI) for response prediction of neoadjuvant radio(chemo)therapy in locally advanced rectal cancer (LARC) in the Netherlands.

BACKGROUND: Given the potential of artificial intelligence (AI) and the increasing importance of und...

AI for screening in healthcare: promise and challenges.

Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory ...

Deep learning in enhanced CT imaging: predicting invasion depth of rectal adenocarcinoma.

PURPOSE: This study aims to develop and evaluate a deep learning model, RectoDepthAI, that leverages...

Toward clinical implementation of interpretable machine learning for early risk stratification in acute pancreatitis.

Shap-interpretable predictive modeling of microvascular invasion and early recurrence in hepatocellular carcinoma using MRI habitat imaging combined with clinical features.

OBJECTIVE: To develop and validate an integrated model combining Gd-EOB-DTPA-enhanced MRI habitat im...

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic model...

Self-supervised exceptional prototypical network for few-shot grading of gastric intestinal metaplasia.

Automatic grading of Gastric Intestinal Metaplasia (GIM) is valuable in assisting the diagnosis of e...

Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.

BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging du...