Gastroenterology

Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learning Approach.

RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver m...

[Rational design and translational applications of hepatitis B virus-like particles].

Hepatitis B virus-like particles (HBV-VLPs), characterized by precise biomimetic topological archite...

Development and validation of AI-based chatbot for self-management in liver transplant recipients.

AIMS: Liver transplant recipients require complex self-management after transplantation. This study ...

Ensuring pragmatic and equitable paths forward for hepatitis B virus infection eradication in Latin America.

INTRODUCTION: Latin America occupies a paradoxical position in hepatitis B virus (HBV) elimination: ...

An ICD gene set-derived immune contexture signature for colorectal cancer prognosis: integrated single-cell and bulk transcriptomic analysis with external validation.

Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptiona...

Integrating multimodality CT-MRI deep learning with clinical-radiological features for preoperative hepatocellular carcinoma grading: a multicenter study.

OBJECTIVE: To develop and externally validate an integrated model that combines multimodality CT-MRI...

Correction: The Asian Pacific Association of the Study of the Liver expert survey on artificial intelligence-assisted reporting of liver histopathology in metabolic dysfunction associated fatty liver disease.

Multi-omics integration and machine learning define an iron-sulfur cluster/zinc-binding protein prognostic signature in esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) is characterized by substantial intratumoral heterogeneity...

Multidimensional 5-hydroxymethylcytosine features in cell-free DNA enable the detection, staging and subtyping of pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignant cancer with limited biomarkers ...

ChatGPT-4o for Endoscopic Differentiation of Autoimmune Gastritis From Helicobacter pylori-Associated Atrophic Gastritis: A Post Hoc Head-to-Head Comparison With Specialized Deep Learning.

Dual geometry-inspired structural modeling for neuroendocrine tumor segmentation in endoscopic ultrasound.

PURPOSE: The increasing incidence of lower gastrointestinal neuroendocrine tumors (NETs) necessitate...

The Lymph Node Ratio as a Predictive Biomarker for Individualized Benefit from Adjuvant Chemotherapy in Gastric Cancer: A Retrospective Cohort and Causal Machine Learning Study.

BACKGROUND: Optimizing adjuvant chemotherapy (AC) for gastric cancer (GC) remains challenging due to...

Precision Pancreatic Cancer Care: From Early Detection to Adaptive Precision Oncology.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains highly lethal, and genome-centric precis...

Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by marked heterogeneity and an immunosup...

Super-resolution MRI and 2.5D deep learning for intratumoral-peritumoral radiomics in preoperative prediction of rectal cancer perineural invasion.

OBJECTIVES: Preoperative prediction of perineural invasion (PNI) in rectal cancer (RC) is challengin...

Association between stomach pain and depression in middle-aged and older chinese adults: Evidence from CHARLS with machine learning and SHAP analysis.

BACKGROUND: Emerging evidence indicates a bidirectional relationship between gastrointestinal sympto...

Image Quality of 1.5 T MRI Using Dual-Type Deep Learning Reconstruction for Pancreatic Cystic Lesions: An Exploratory Comparison With Conventional 3 T MRI Without Deep Learning Reconstruction.

BACKGROUND: Dual-type deep learning reconstruction (DLR) may improve the pancreatic MRI image qualit...

Single-shot T2-Weighted Turbo Spin-echo Imaging of the Liver Improves Lesion Characterization Compared with Free-breathing Acquisition.

RATIONALE AND OBJECTIVES: T2-weighted imaging is essential for liver magnetic resonance imaging (MRI...

A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.

BACKGROUND: The PD-L1 combined positive score (CPS) is a biomarker predicting responses in gastric c...

Simulating Reality and Transforming Endoscopic Education-Lessons from Esophageal Dilation.

Although endoscopic training has traditionally relied on mentorship and procedural volume to assess ...

Integrated Transcriptomic Analysis and Machine Learning Identify THY1 as a Key Regulator of Cancer-Associated Fibroblast Infiltration, Promoting Malignant Progression and Immune Escape in Gastric Cancer.

BACKGROUND: Heterogeneity in cancer-associated fibroblast (CAF) infiltration within the tumor microe...