Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: Neoadjuvant chemoradiotherapy has been the standard practice for patients with locally adva...
The study aims to investigate the predictive capability of machine learning algorithms for omental m...
In the process of oxygen reduction, reactive oxygen species (ROS) are generated as intermediates, in...
Alcoholic-associated liver disease (ALD) and metabolic dysfunction-associated steatotic liver diseas...
Analyzing tissue microstructure is essential for understanding complex biological systems in differe...
The incomplete prediction of prognosis in esophageal squamous cell carcinoma (ESCC) patients is attr...
Non-invasive detection of tumors is of utmost importance to save lives. Nonetheless, identifying tum...
Artificial intelligence (AI) refers to computer-based methodologies that use data to teach a compute...
BACKGROUND AND PURPOSE: To investigate the feasibility of synthesizing computed tomography (CT) imag...
Cancer is a complex disease intrinsically associated with cellular processes and gene expression. Wi...
INTRODUCTION: The USA has the highest age-standardized prevalence of inflammatory bowel disease (IBD...
PURPOSE: This study was designed to develop and validate a machine learning-based, multimodality fus...
In drug candidate design, clearance is one of the most crucial pharmacokinetic parameters to conside...
The detection of hepatitis B surface antigen (HBsAg) is critical in diagnosing hepatitis B virus (HB...
Helicobacter pylori (H. pylori) is currently recognized as the primary carcinogenic pathogen associa...
Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities...
Postoperative venous thromboembolic events (VTEs), such as lower extremity deep vein thrombosis (DVT...
Pancreatic cancer has a dismal prognosis, as it is often diagnosed at stage IV of the disease and is...
The gut microbiome, linked significantly to host diseases, offers potential for disease diagnosis th...
IMPORTANCE: Intra-arterial therapies(IATs) are promising options for unresectable hepatocellular car...
BACKGROUND & AIMS: Guidelines recommend use of risk stratification scores for patients presenting wi...