Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Machine-learning models based on tissue transcriptomic data are powerful tools for disea...
Metabolic dysfunction-associated fatty liver disease (MASLD) is a highly prevalent liver condition w...
Clinical translation of novel therapies can be hindered by heterogeneity-driven sample size inflatio...
OBJECTIVE: Magnetic resonance imaging (MRI) and computed tomography (CT) are commonly used to measur...
Diabetic colitis is a severe gastrointestinal complication of type 2 diabetes, which presents the ke...
BACKGROUND: Percutaneous endoscopic interlaminar discectomy (PEID) is a common surgical technique fo...
BACKGROUND: Cirrhosis and sarcopenia frequently coexist and are associated with poor clinical outcom...
Chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD) frequently coexist, and lipi...
The landscape of gastric cancer surgery has undergone remarkable transformation, evolving from tradi...
BACKGROUND: Esophageal adenocarcinoma (EAC) is a highly aggressive malignancy with poor prognosis, o...
PURPOSE: To investigate whether perioperative resting energy expenditure (REE) dynamics improve pred...
Spatial transcriptomics provides high-throughput measurement of gene expression while retaining spat...
BACKGROUND: Prognostic evaluation of pediatric hepatoblastoma (HB) remains challenging due to the lo...
Artificial intelligence (AI)-based screening tools show promise for early identification of chronic ...
BACKGROUND: Esophageal cancer tumors exhibit complex and variable distribution. Due to differences i...
Cellular senescence plays a context-dependent role in gastric cancer (GC), functioning both through ...
Prognostic stratification in stage III colon cancer remains poor, despite treatment advances. Tumor-...
AIMS: This study aims to develop and validate a Multi-Dimensional Computational Screening (MDCS) str...
PURPOSE: To assess the image quality, apparent diffusion coefficient (ADC) values, and lesion detect...
Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease...
BACKGROUND: Patients with cancer are at elevated risk of venous thromboembolism (VTE). While primary...