Gastroenterology

Comprehensive Analysis Reveals the Molecular Features and Immune Infiltration of PANoptosis-Related Genes in Metabolic Dysfunction-Associated Steatotic Liver Disease.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), a chronic inflammatory...

Bioimpedance assessment method based on back propagation neural network for irreversible electroporation of liver tissue.

The safety and efficacy of irreversible electroporation (IRE) in tumor therapy has been validated ov...

Be precise, be reproducible! The emerging role of artificial intelligence in inflammatory bowel disease endoscopy.

Artificial intelligence system improves the quality of digestive endoscopy: A prospective pretest and post-test single-center clinical trial.

BACKGROUND: With the assistance of ENDOANGEL, a study was conducted at Hainan General Hospital to ev...

From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease.

Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic in...

A Vision-Language Model for Focal Liver Lesion Classification

Accurate classification of focal liver lesions is crucial for diagnosis and treatment in hepatolog...

STG: Spatiotemporal Graph Neural Network with Fusion and Spatiotemporal Decoupling Learning for Prognostic Prediction of Colorectal Cancer Liver Metastasis

We propose a multimodal spatiotemporal graph neural network (STG) framework to predict colorectal ...

Sim2Real in endoscopy segmentation with a novel structure aware image translation

Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doct...

What insights can spatiotemporal esophageal atlases and deep learning bring to engineering the esophageal mucosa?

In this issue of Developmental Cell, Yang et al. present an integrated experimental and computationa...

Interactive Explainable Deep Learning Model for Hepatocellular Carcinoma Diagnosis at Gadoxetic Acid-enhanced MRI: A Retrospective, Multicenter, Diagnostic Study.

Purpose To develop an artificial intelligence (AI) model based on gadoxetic acid-enhanced MRI to ass...

Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.

Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic predictio...

Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomography.

BACKGROUND & AIMS: Enhanced computed tomography (CT) is the primary method for focal liver lesion di...

Application of deep learning models for accurate classification of fluid collections in acute necrotizing pancreatitis on computed tomography: a multicenter study.

PURPOSE: To apply CT-based deep learning (DL) models for accurate solid debris-based classification ...

An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains th...

Impact of Blastocystis carriage and colonization intensity on gut microbiota composition in a non-westernized rural population from Colombia.

BACKGROUND: The role of Blastocystis, a common intestinal parasitic protist of humans and other anim...

Impact of Tagatose on Physicochemical, Nutritional, and In Vitro Digestive Properties of Toast Bread.

It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...

The Association Between Hepatocellular Carcinoma and Gastrointestinal Adenocarcinoma: Is This a New Syndrome in Patients With Cirrhosis? A Case Series.

AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...

AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI.

BACKGROUND: To compare liver image quality and lesion detection using an AI-augmented T1-weighted se...

Evaluating prostate cancer diagnostic methods: The role and relevance of digital rectal examination in modern era.

This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...

A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma.

BACKGROUND AND OBJECTIVES: Accurate survival prediction for pancreatic ductal adenocarcinoma (PDAC) ...

WEO Newsletter: The Impact of Artificial Intelligence on Gastrointestinal Endoscopy.