Gastroenterology

Relationships between periodontitis and inflammatory bowel disease: Screening and functional analysis of endoplasmic reticulum stress-related biomarkers.

This study aimed to explore the relationship between periodontitis (PD) and inflammatory bowel disea...

Action classification for endoscopic pituitary adenoma resection: a consensus-based study.

PURPOSE: Pituitary adenoma resection via the endoscopic transsphenoidal approach is technically dema...

Phase-constrained zero-shot self-supervised learning for BLADE liver MRI reconstruction.

INTRODUCTION: Liver MRI plays a critical role in the diagnosis and monitoring of liver disease; howe...

Intraindividual comparison of 3-T and 5-T gadoxetic acid-enhanced MRI for evaluating HCC: initial findings.

BACKGROUND: We aimed to evaluate the utility of 5-T Gadolinium-ethoxybenzyl diethylenetriaminepentaa...

Towards a neuro-symbolic approach for precision anti-reflux surgery.

Artificial intelligence augmented imaging of pancreatic fluid collections in acute pancreatitis.

Acute pancreatitis (AP) is a significant global health burden, with pancreatic fluid collections (PF...

Deep learning-based pathomics signature predicts prognosis and treatment response in gastric cancer: a multicenter retrospective study.

The existing TNM staging system provides insufficient prognostic information in gastric cancer (GC) ...

Predicted meta-omics: A potential solution to multi-omics data scarcity in microbiome studies.

Imbalances in the gut microbiome have been linked to conditions such as inflammatory bowel disease, ...

High-Throughput Screening for Ageing and Age-Related Disease Drug Discovery: Advances and Challenges.

Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, ye...

An Interpretable Model Combining Brain Imaging and Clinical Indicators for Predicting Overt Hepatic Encephalopathy.

BACKGROUND: Differentiating overt hepatic encephalopathy (OHE) from covert hepatic encephalopathy (C...

Efferocytosis-related biomarkers and immune infiltration in pancreatic ductal adenocarcinoma based on single-cell sequencing and machine learning: a comprehensive bioinformatics analysis and experimental validation.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with...

Artificial intelligence for metabolic dysfunction-associated steatotic liver disease diagnosis: A systematic review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) poses significant diagnostic challe...

The Impact of Specific Prompt Engineering Techniques on the Readability of LLM-Generated Patient Materials in Gastroenterology and Hepatology.

BACKGROUND AND AIMS: Health literacy significantly impacts patient outcomes. While the average Ameri...

FedLiverNet: a federated learning framework for privacy-preserving and efficient liver cancer detection.

Liver cancer continues to be a significant health issue on the global front, and proper segmentation...

Volatomics-based biomarkers for non-invasive diagnosis and monitoring of inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is a...

Intraoperative video-based artificial intelligence model exceeding surgeon accuracy for predicting severe fibrosis in minimally invasive liver surgery.

Accurate evaluation of liver fibrosis is essential for surgical planning in patients with hepatocell...

Federated CT foundation models for multi-center detection of lymph node metastasis in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with prognosis ...

ACAT1-mediated lactylation reprogramming governs immune-stromal crosstalk in ulcerative colitis.

Ulcerative colitis (UC), a chronic inflammatory bowel disorder characterized by progressive colonic ...

Machine learning-based clustering differentiates bilateral hepatocellular carcinoma characteristics and prognosis.

BACKGROUND: Bilateral hepatocellular carcinoma represents a biologically heterogeneous disease with ...

Multiparametric MRI-Based Integrated Analysis of Clinical, Radiomics, Deep Learning, and Machine Learning for Predicting Tumor Proliferation and Prognosis in Locally Advanced Rectal Cancer.

RATIONALE AND OBJECTIVES: This study aimed to develop and validate a predictive model integrating cl...

Digital SERS Nanoprobe Immunoassay With Single-Particle Sensing Resolution for Detection of Pancreatic Cancer Biomarkers From Clinical Blood Samples.

Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy mo...