Gastroenterology

Artificial Intelligence in MASLD: A Three-Level Framework Across Clinical, Health-System, and Policy Decisions.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent worldwide, yet ...

SW-VEI-Net: A Physics-Informed Deep Neural Network for Shear Wave Viscoelasticity Imaging.

Quantitative viscoelasticity imaging via shear wave elastography (SWE) remains challenging due to co...

DyVAESurv: A VAE-Enhanced Model for Dynamic Survival Analysis.

Survival analysis plays a crucial role in discovering the relationship between covariates and event ...

Noncontrast MRI Assessment of Oxygen Metabolism in Human Calf Muscles Using VSASL and ANN-Based GESSE.

To investigate the feasibility of a noncontrast MRI framework combining velocity-selective arterial ...

Integrated Assessment of Sarcopenia in Patients with Gastric Cancer Using Deep Learning and Radiomics.

BACKGROUND: Sarcopenia is a common condition in patients with gastric cancer that is associated with...

ALPS-HCC Score: A Dynamic Liver Stiffness Measurement-Based Machine Learning Model to Predict Risk of Hepatocellular Carcinoma.

BACKGROUND & AIMS: Existing hepatocellular carcinoma (HCC) risk scores specific to chronic hepatitis...

Beyond the scope: the transition from visual artificial intelligence to embodied humanoid robotics in flexible gastrointestinal endoscopy.

Pancreatic Cancer Screening and Early Detection: Where Are We Now?

Pancreatic cancer remains one of the most lethal malignancies, with an overall 5-year survival rate ...

Multicenter Evaluation of Large Language Models Versus Hepatologists for Prognostic Prediction in Drug-Induced Liver Injury.

BACKGROUND & AIMS: Drug-induced liver injury (DILI) would progress to chronicity or death. Large lan...

Discovery of Epidermal Growth Factor-Like 7 as a Potential Non-Invasive Biomarker for Fibrosis and Mortality Risk in MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver-related m...

White Blood Cell to HDL-C Ratio and Sarcopenia: A Dual-Cohort Analysis Including Exploratory Insights on Hepatitis B History.

BACKGROUND: Sarcopenia, driven by inflammation and lipid dysregulation, lacks inexpensive screening ...

Performance of an artificial intelligence model for classifying stool consistency in infants.

Introduction. Classifying stool consistency in infants is essential in pediatric gastroenterology. T...

Multi-Omics and Computational Pharmacology Approach With Experimental Validation Reveals the Antiproliferative Activity of Sophoricoside Against Pancreatic Cancer.

Pancreatic cancer has a dismal prognosis and limited therapeutic options, highlighting an urgent nee...

Benefits of Point-of-Care Ultrasound for Assessing Gastric Contents.

BACKGROUND: Point-of-care ultrasound (POCUS) has emerged as a valuable bedside tool for assessment o...

Organoids: Current Applications and Future Directions.

Organoids are three-dimensional multicellular structures derived from stem cells or primary tissues ...

Risk Factors of Ureteral Stricture after Endoscopic Lithotripsy for Impacted Stones: A Case-Control Study.

OBJECTIVES: To identify risk factors for ureteral stricture after endoscopic lithotripsy for impacte...

A machine learning model for distinguishing gastric cancer from intestinal metaplasia in patients with psychological symptoms.

AIM: To develop and internally evaluate an interpretable machine learning model for distinguishing c...

Development of an Interpretable Triage Tool for Colorectal Polyp Risk Stratification Within a Population-Based Screening Program: Machine Learning Approach.

BACKGROUND: Colorectal polyps are a major source of precancerous lesions in colorectal cancer (CRC)....

Multi-omics prioritization identifies ISG20 as a candidate molecular target of patulin in colorectal cancer.

Patulin, a mycotoxin commonly found in fruits and fruit products, has been linked to abnormal cell g...

Paired CYP1A2/3A4-HepG2 phenotyping supports machine-learning classification of literature-curated hepatotoxicity categories.

Limited CYP1A2/3A4 activity in wild-type HepG2 cells can obscure hepatotoxic responses that require ...

Predicting long-term survival after gastrectomy in elderly patients with esophagogastric junction adenocarcinomas.

BACKGROUND: The long-term survival outcomes of older patients with esophagogastric junction adenocar...