Latest AI and machine learning research in gastroenterology for healthcare professionals.
Schistosomiasis causes a complex, difficult to diagnose form of liver fibrosis with high rates of li...
Background: Colon capsule endoscopy (CCE) has been proposed as a non-invasive alternative to colonos...
Subjective auditory-perceptual evaluation and uninterpretable deep learning models limit the clinica...
Background: CD8+ tumor-infiltrating lymphocytes (TILs) are established prognostic markers in colorec...
This study developed a new Cellular Omics-Structural Integration (COSI) technology platform to addre...
Background & Aims: Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) is the leading c...
Liver sinusoidal endothelial cells (LSECs) are increasingly recognized as a critical yet underexplor...
Objective:This study aims to compare the advantages and disadvantages of DLIR and adaptive statisti...
Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointes...
Tumour-educated platelets (TEPs) carry cancer-type-specific RNA signatures accessible through whole-...
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLD...
Medical video diagnosis involves inferring clinical decisions from dynamic tissue responses througho...
Accurate pancreas segmentation is critical for early cancer diagnosis, where annotation scarcity nec...
Hepatocellular carcinoma (HCC) is biologically heterogeneous, shaped by the interplay between hepati...
Despite years of methodological progress, how far AI has come in liver fibrosis staging has never be...
Background Liver fibrosis (LF) represents a pivotal pathological phase in the advancement of chronic...
The liver plays a central role in systemic metabolism, yet large-scale genetic studies of quantitati...
Microbiome-based machine learning classifiers show increasing promise for disease identification acr...
Video Capsule Endoscopy (VCE) poses a challenging multi-label temporal classification problem, requi...
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiogr...
Objectives: AI-based reconstructions can reduce MRI acquisition times and/or improve image quality. ...