Gastroenterology

Embedding artificial intelligence literacy in endoscopy training: extending the European Society of Gastrointestinal Endoscopy (ESGE) curriculum framework.

Statistical models to characterize colon tumor stiffness heterogeneity through representative atomic force microscopy maps.

The study of the impact of physical forces and on cells has emerged as a fertile field of investigat...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically condu...

Interpretable machine learning models based on CT radiomics for predicting chemoradiotherapy response in rectal cancer.

Contrasting roles of PD-L1 expression in tumor and stroma: Biological and prognostic implications in esophageal squamous cell carcinoma.

Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous c...

MRI-based AI framework for predicting lymph node metastasis and prognosis in rectal cancer after neoadjuvant chemoradiotherapy: a multicenter study.

BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCR...

INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy.

BACKGROUND & AIMS: Capsule endoscopy (CE) is a noninvasive technique for diagnosing Crohn's disease ...

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, par...

Atypical Ductular Reactions Are a Distinct Regenerative Phenomenon in Hepatocellular Carcinoma (HCC) Patients after Transarterial Chemoembolization.

Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinom...

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel ...

Comment on "The optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy".

A Biologically Informed Machine Learning Pipeline Uncovers Metabolic Features of Intestinal Barrier Dysfunction.

Intestinal barrier dysfunction is a pivotal factor in diverse pathologies, yet clear diagnostic crit...

Second-line chemotherapy after gemcitabine plus nab-paclitaxel in metastatic pancreatic cancer: comparative outcomes and AI-guided treatment selection.

BACKGROUND: International guidelines recommend 5FU/LV, Nal-IRI + 5FU/LV, FOLFIRI, FOLFOX, or (m)FOLF...

Hypoxia-related and immune phenotype-related fusion model for non-invasive prognostication of hepatocellular carcinoma treated by TACE: a multicentre study.

BACKGROUND: Survival outcomes after transarterial chemoembolisation (TACE) vary in hepatocellular ca...

Comment on "The optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy".

Development and Validation of a Machine Learning Model for Predicting 3-Year Overall Survival After Transjugular Intrahepatic Portosystemic Shunt: A Retrospective Multicenter Study.

BACKGROUND AND AIMS: Predicting overall survival (OS) in cirrhotic patients undergoing transjugular ...

The ATF5-GPER1 axis drives female protection in hepatocellular carcinoma through dual tumor-suppressive and immune-modulatory mechanisms.

Hepatocellular carcinoma (HCC) exhibits marked sexual dimorphism, with females demonstrating superio...

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prog...

Associations between 12 insulin resistance surrogates with metabolic dysfunction-associated steatotic liver disease risk and all-cause mortality: data from the NHANES III (1988-1994).

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been shown to be in...

Advances and opportunities in measuring dietary intake: from omics to AI.

Accurate measurement of dietary intake remains a cornerstone challenge in optimizing the efficacy of...

Artificial intelligence and capsule endoscopy.

The advent of artificial intelligence (AI) is revolutionizing today's clinical practice, particularl...