Gastroenterology

Recent developments in the therapeutic management of acid-related gastrointestinal diseases.

INTRODUCTION: Acid-related gastrointestinal diseases, particularly gastroesophageal reflux disease (...

Computer-Vision Approach to Triaging Patient-Submitted Photos of Intestinal Ostomies.

BACKGROUND: Surgeons and ostomy nurses receive a high volume of stoma photos from patients. OBJECTIV...

Clinical target volume radiomics from planning CT for pretreatment response prediction  in rectal cancer undergoing chemoradiotherapy.

PURPOSE: Response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer remains heterogeneous. Th...

Precision Medicine for Anticoagulation Strategies in the Cath Lab: Part 2.

PURPOSE OF REVIEW: Intraprocedural anticoagulation during percutaneous coronary intervention (PCI) r...

Artificial intelligence assessment of endoscopic severity and extent: A machine learning approach to continuous evaluation of endoscopic inflammation in ulcerative colitis.

BACKGROUND: The endoscopy subscore is a therapeutic endpoint in ulcerative colitis trials but is lim...

Protective Effects of p-Coumaric Acid Against Lead-Induced Hepatic Oxidative Stress, Inflammation, and Apoptosis: Integrated Molecular and Machine Learning-Based Analysis.

Lead (Pb) exposure is a major environmental health concern that induces hepatic injury through oxida...

PAN4, an AI-designed host-directed immunomodulatory peptide, promotes PGRP-SC1a-associated intestinal immune homeostasis in Drosophila melanogaster.

We identify PAN4 (GAYTFKIRRK), an AI-designed host-directed immunomodulatory peptide, as a modulator...

Spatial architecture of tertiary lymphoid structures represents an independent prognostic dimension in hepatocellular carcinoma.

BACKGROUND AND AIMS: Tertiary lymphoid structures (TLS) are associated with heterogeneous outcomes i...

X-DILiver: an ensemble learning framework for predicting drug-induced liver injury.

Drug-induced liver injury (DILI) is a primary cause of drug attrition, associated with over 1000 med...

Development and validation of an interpretable machine learning model for predicting in-hospital mortality among critically ill patients with liver cirrhosis.

This study aimed to develop and validate an interpretable machine learning model for early predictio...

Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning.

Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases po...

Integrating multiple hematologic inflammatory indices into a principal component analysis-derived inflammatory burden score for coronary artery disease.

BACKGROUND: Complete blood count-derived inflammatory indices have been associated with coronary art...

The VISION-AI Trial: protocol for a pragmatic randomized controlled non-inferiority trial comparing artificial intelligence-guided colonoscopy to pancolonic chromoendoscopy for neoplasia detection in adults with colorectal inflammatory bowel disease.

BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy...

Artificial intelligence powered decoding of Plasmodium falciparum sporozoite motility patterns.

Sporozoites (SPZ), the infective mosquito stage of Plasmodium falciparum malaria, are widely studied...

Multiomics identifies a prognostic signature and SPIB as a potential regulator of gastric cancer lymph node metastasis.

The heterogeneity within the same AJCC TNM stage of gastric cancer necessitates robust prognostic bi...

The illusion of competence: Evaluating the clinical reasoning of large language models in pediatric gastroenterology.

OBJECTIVE: To evaluate the diagnostic accuracy and clinical reasoning of three frontier large langua...

Noble Metal-Metal Oxide Nanohybrids as a High-Performance LDI-MS Matrix for Machine Learning-Driven Metabolic Diagnosis of Esophageal Cancer.

Esophageal cancer represents a global health challenge with a notably high incidence and poor progno...

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...

Human-artificial intelligence adaptation in colonoscopy: beyond deskilling and upskilling.

A machine learning approach to non-invasive prediction of hepatic decompensation in compensated advanced chronic liver disease: the CIRI model.

BACKGROUND & AIMS: Hepatic venous pressure gradient (HVPG) is the gold standard for assessment of pr...

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after c...