Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) does not have distinct and highly sensitive bi...
Brassicaceae microgreens constitute a novel and promising source of bioactive compounds, such as pol...
This study developed a new Cellular Omics-Structural Integration (COSI) technology platform to addre...
Frailty in the elderly population is associated with increased vulnerability to stressors, including...
INTRODUCTION: About 30%-50% of patients with Crohn's disease (CD) eventually develop intestinal stri...
Trillions of intestinal microbiota are essential to the permeability of orally administered drugs. H...
In the present study, we investigated biochemical, hematological, lipidomic, and metabolomic alterat...
AIM: This study aimed to determine the important features and cut-off values after demonstrating the...
BACKGROUND: Microvascular invasion (MVI) is strongly associated with the prognosis of patients with ...
BACKGROUND: Gastrointestinal bleeding (GIB) is a common complication following Type A aortic dissect...
Molecular endoscopy represents a transformative advance in the detection, diagnosis, and management ...
OBJECTIVE: To develop an interpretable machine learning (ML) model using dynamic contrast-enhanced m...
BACKGROUND: To date, indications for a surgical approach of small pancreatic neuroendocrine tumours ...
INTRODUCTION: Gastrointestinal disorders (GIDs) affect nearly 40% of the global population, with gut...
Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in e...
OBJECTIVES: Computer-aided diagnosis (CADx) is anticipated to enhance the prediction of colorectal p...
BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is one of the most common critical disease...
PURPOSE: To develop and validate a predictor for early treatment response in hepatocellular carcinom...
Minimally invasive surgery involves entering the body through small incisions or natural orifices, u...
Liver sinusoidal endothelial cells (LSECs) lose their characteristic fenestrations and become capill...
Zebrafish (Danio rerio) are a popular vertebrate model for high-throughput toxicity testing, serving...