Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.

BACKGROUND AND OBJECTIVE: Gastric cancer (GC) remains a prevalent and preventable disease, yet accur...

Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.

We use open source human gut microbiome data to learn a microbial "language" model by adapting techn...

Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.

Ultrasound (US) is considered a key modality for the clinical assessment of hepatic steatosis (i.e.,...

Microencapsulation of Lactobacillus cells utilizing the β-glucan-rich cell wall of Saccharomyces cerevisiae for enhanced stability and efficacy.

Probiotic encapsulation enhances bacterial stability and viability, yet conventional materials like ...

Polystyrene nanoplastics cause developmental abnormalities, oxidative damage and immune toxicity in early zebrafish development.

Aquatic organisms are increasingly affected by polystyrene nanoplastics (PSNPs), which have the pote...

Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

Recent advancements in endoscopy video analysis have relied on the utilization of relatively short v...

Use of polyethylene glycol precipitation and ultracentrifugation to enhance the sensitivity of hepatitis B virus DNA detection.

BACKGROUND: Sensitive molecular detection of hepatitis B virus (HBV) DNA is crucial for diagnosing a...

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.

Large language models generate plausible text responses to medical questions, but inaccurate respons...

Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma.

Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to ...

Development of an activity-based ratiometric electrochemical substrate for measuring circulating dipeptidyl peptidase-IV/CD26 in whole blood samples.

Dipeptidyl peptidase-IV (DPP-IV) is a circulating blood biomarker that diagnose pancreatic and thyro...

Development and external validation of a model for post-endoscopic retrograde cholangiopancreatography pancreatitis.

Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is a common complicati...

Trends in the applications of artificial intelligence in fatty liver diseases.

INTRODUCTION: Artificial intelligence (AI) has rapidly advanced and shows great potential in the pre...

Deep learning model for predicting the RAS oncogene status in colorectal cancer liver metastases.

BACKGROUND: To develop a deep learning radiomics (DLR) model based on contrast-enhanced computed tom...

GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detection.

The gastrointestinal (GI) system is fundamental to human health, supporting digestion, nutrient abso...

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