Gastroenterology

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults w...

Association of surgery with survival in small cell carcinoma of the digestive system: a population-based observational study using machine learning.

Identification of a novel platelet-related prognostic model for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high invasiveness and metastasis. ...

Colorectal liver metastases: imaging strategies for diagnosis, local treatment planning and systemic treatment response.

Colorectal liver metastases (CRLM) remain a major cause of cancer-related mortality, with imaging pl...

Interpretable machine learning and molecular simulations identify natural pancreatic lipase inhibitors and hydrophobic hotspot residues.

Pancreatic lipase (PL) is a validated peripheral target for limiting dietary fat absorption, yet str...

Towards transparent and interpretable screening: multi-biofluid FTIR spectroscopy with LLM-Augmented explainability for pancreatic cancer detection.

Early detection of pancreatic cancer remains a critical challenge in oncology, with current diagnost...

Trusted polyp segmentation via multi-scale evidence ensemble in colonoscopy images.

PURPOSE: Accurate and reliable polyp segmentation is essential for early colorectal cancer detection...

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...

Vis-NIR spectroscopy and deep learning for non-invasive in vivo detection of acute liver injury.

Acute liver injury (ALI) is accompanied by coordinated alterations in hepatic perfusion, lipid metab...

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, ...

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...