Gastroenterology

Multi-omics-based machine learning model predicts response and guides treatment in Crohn disease: a case study in nutritional therapy.

BACKGROUND: Biomarkers are needed to predict treatment response and guide therapeutic decisions in C...

Physician Perspectives on ChatGPT-4o as a Patient Resource for Abdominal Cancer Surgeries: Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care...

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiat...

CAD-SEL: A dual-modal colonoscopy dataset of subepithelial lesion.

Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of his...

Artificial intelligence: Catalyzing a new era in pancreatic cancer cure.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal human cancers, mostly due to ...

From Genomic Instability to Epigenetic Signatures: The Evolving Landscape of Circulating Cell-free DNA in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health ...

Impact of a real-time automatic quality control system for magnetically controlled capsule gastroscopy: a multicenter randomized controlled trial.

BACKGROUND: Quality control can reduce variations in operators' performance conducting magnetically ...

Medicinal Plants and the Gastrointestinal Microbiota in Chronic Diseases Modulation: A Structured Mechanistic and Translational Review.

The gut microbiome supports digestion, immunity, and metabolism; its imbalance (dysbiosis) drives in...

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fractur...

AI-Driven Hemodynamic Detection of Self-Induced Daydreaming With EMG-Based Physiological Triggers During Pre- and Post-Prandial States Using fNIRS and EGG.

BACKGROUND: Daydreaming can be monitored either to avoid it while doing hands-on tasks or to enhance...

Predicting Prognosis for Gastric Cancer Patients Receiving Neoadjuvant Treatment With Body Composition-Based Deep Learning.

BACKGROUND: This study sought to develop an innovative body composition (BC)-based deep learning (DL...

Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients.

OBJECTIVES: Diagnostic delay in Crohn's disease (CD) may increase the risk of poor prognosis. This s...

Noninvasive Screening for High-Risk Esophageal Varices in Cirrhosis: Current and Emerging Methods.

The primary goal of variceal screening in patients with cirrhosis is to identify high-risk esophagea...

Impact of Artificial Intelligence-Assisted Endoscopy on Screening for Upper Gastrointestinal Cancer in a Large-Scale Health Screening Facility.

OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy has been developed for the early detecti...

Personalized assessment of hyperuricemia probability in metabolic dysfunction-associated steatotic liver disease: construction and multicenter validation of a clinical nomogram.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is increasingly recognized as a...

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached...

Noninvasive Tests for Predicting Decompensation in Compensated Advanced Chronic Liver Disease: A Comprehensive Review.

Strong non-invasive tests (NITs) are needed to predict decompensation in patients with compensated a...

Identification of Hepatic Fibrosis and Steatosis via A Point-of-Care Transient Elastography System With Integrated AI.

BACKGROUND & AIMS: Transient elastography (TE) is routinely undertaken for non-invasive assessment o...

The role of artificial intelligence in colonoscopy performance and quality among gastroenterology fellows.

The Prognostic and Biological Value of PGF-Based H&E Pathomics in Hepatocellular Carcinoma.

PURPOSE: Placental growth factor (PGF) is associated with the progression of hepatocellular carcinom...

Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer.

Purpose To develop and validate a deep learning model integrating tumor and visceral adipose tissue ...