Gastroenterology

Integrated transcriptomic and experimental validation reveal that N‑acetylcysteine ameliorates acute liver failure through multi‑target synergistic regulation of pyroptosis and related signaling networks.

Pyroptosis is a major contributor to the pathophysiology of acute liver failure (ALF), a condition w...

Large language models enable prognostic stratification of cancer patients using real-world clinical notes.

In medical documentation, vast amounts of unstructured text are generated that are still underutiliz...

Large language models as versatile predictive engines for notifiable infectious diseases.

Accurate forecasting of infectious disease cases and deaths is crucial for public health decision-ma...

AI-Powered Discovery of Rosmarinic Acid as a Novel Ferroptosis Inhibitor for Ulcerative Colitis via Targeting the ALOX15-VDAC1 Axis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited mechanism-based therapi...

Real-Time AI-Based Alert System for Head Occlusion: Ensuring Video Quality for Hepato-Biliary-Pancreatic Board Certification.

Enterococcus hirae Y-HS Alleviates Ulcerative Colitis by Activating PXR/Nrf2-mediated Metabolic-immune Crosstalk.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited non-invasive biomarkers...

Spatial transcriptome and single-cell reveal the role of sorbitol metabolism in hepatocellular carcinoma progression and tumor microenvironment.

BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC)....

AI/ML-Enabled Multi-Omics Integration of Host Genetics, Immunity, and the Gut Microbiome in Crohn's Disease: From Diagnosis to Theranostics.

Crohn's disease is a long-term inflammatory disorder arising from the interaction of genetic risk fa...

Development and validation of a machine learning model to preoperatively predict very early recurrence in patients with hepatitis B virus-related hepatocellular carcinoma.

Very early recurrence (within one year) after curative hepatectomy significantly impairs long-term s...

Intelligent surgical workflow recognition-based skill assessment for minimally invasive submandibular gland resection.

Artificial Intelligence (AI) is transforming clinical dental practice, with most applications focusi...

Domain-Specific Transfer Learning for Gastric Cancer Tissue Classification.

Gastric cancer is the fifth most diagnosed cancer worldwide and is the fifth most deadly. An essenti...

MRI Radiomics for Preoperative Microvascular Invasion Stratification in Hepatocellular Carcinoma: Comparative Analysis of Intratumoral, Peritumoral, and Combined Intratumoral-Peritumoral Approaches-A Systematic Review and Meta-analysis.

Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinom...

Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease.

PURPOSE: Among the extraintestinal ocular manifestations of patients with inflammatory bowel disease...

Pilot feasibility study of deep learning-based detection of malignant liver lesions in intraoperative ultrasound imaging.

BACKGROUND: Intraoperative ultrasound plays a central role in hepatobiliary surgery for the detectio...

Deep learning-based automatic identification model of main pancreatic duct in intraoperative ultrasonography.

BACKGROUND: Pancreatic enucleation (PE) preserves parenchyma in benign/low-grade malignant pancreati...

Computational Toxicology Prioritization of CYP3A4 and DPP7 as Candidate Triclosan-Relevant Molecular Targets in Ulcerative Colitis.

Triclosan (TCS), a synthetic broad-spectrum antimicrobial classified as a novel persistent organic p...

MRI radiomics combined with clinical factors to predict vessels encapsulating tumor clusters and early recurrence in hepatocellular carcinoma (≤ 3 cm).

OBJECTIVES: This study aims to develop a predictive model that combines MRI radiomics features with ...

Detection of hypodense hepatic and renal lesions on abdominal CT reconstructed with deep learning image reconstruction technique in patients with large body habitus: A multi-reader study.

PURPOSE: To evaluate detectability of hypodense hepatic and renal lesions on portal venous phase CT ...

A morphology-guided ViT-CNN approach for the detection of lung and colon cancer using H&E-stained biopsy images.

The accurate categorisation of histopathological images is crucial for the reliable identification o...

Artificial intelligence-based prediction of claudin 18.2 expression and immune phenotype from routine histology to guide treatment decisions in patients with gastric cancer.

BACKGROUND: First-line treatment of gastric cancer is evolving with the integration of immune checkp...

Expression characteristics analysis, establishment of prognostic model and screening of key regulators based on selenium protein-related genes in rectal adenocarcinoma.

BACKGROUND: Selenium is an essential trace element in the human body and plays a significant role in...