Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in en...
Gastrointestinal nematodes (GIN) are a major health concern in dogs, particularly in high-density en...
INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools ...
To determine lactate metabolism-associated biomarkers for non-alcoholic fatty liver disease (NAFLD)....
Primary liver cancers, including hepatocellular carcinoma and cholangiocarcinoma, represent a growin...
For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total ...
Accurate preoperative differentiation of gastric cancer T4a/b stages is crucial for surgical plannin...
OBJECTIVE: Postoperative metachronous liver metastasis (MLM) in colorectal cancer (CRC) patients is ...
BACKGROUND: Precise surgical procedures are critical to improving the survival outcomes for colon ca...
While gasdermin (GSDM)-mediated pyroptosis is a potent immune effector, its antiviral potential rema...
BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with m...
BACKGROUND: This study focuses on exploring the co-morbid mechanisms by which Bisphenol A (BPA) indu...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and accura...
Hepatocellular carcinoma (HCC) exhibits substantial interpatient heterogeneity, leading to markedly ...
Hepatotoxicity represents a major adverse outcome of chemical exposure, as the liver plays a central...
BACKGROUND: Large language models (LLMs) have shown promising performance in medical knowledge asses...
BACKGROUND AND STUDY AIM: Identifying high-risk patients for recurrence after endoscopic resection (...
OBJECTIVE: Ultrasound fusion imaging is a hybrid technique that combines real-time ultrasonography (...
OBJECTIVES: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfuncti...
BACKGROUND: Graph-based machine learning approaches, including Knowledge Graph Embedding (KGE) metho...
BACKGROUND: Hepatocellular carcinoma (HCC) arises within a hypoxic and immunosuppressive tumor micro...