Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Predicting infliximab pharmacokinetics (PK) is essential for optimizing individualized d...
OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete rese...
BACKGROUND: Postoperative anastomotic leakage (AL) is a severe complication following esophageal can...
BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, and its molecular...
Gastroesophageal reflux disease (GERD) is one of the most frequently diagnosed gastrointestinal diso...
BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with early di...
BACKGROUND: Postoperative pancreatic fistula (POPF) remains one of the most relevant complications f...
BACKGROUND: Hemorrhoidal disease (HD) is the most prevalent rectal disorder, with various cellular p...
PURPOSE: To investigate the image quality of deep learning-reconstructed T2-weighted half-Fourier si...
Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...
Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (I...
The histopathologic evaluation of regulatory toxicity studies using artificial intelligence (AI) has...
PURPOSE: This study aimed to evaluate the image quality and clinical utility of a deep learning reco...
The tumor microenvironment (TME) plays a pivotal role in tumor progression, immune evasion, and ther...
Perfluorobutanoic acid (PFBA) and perfluorobutanesulfonic acid (PFBS) are short-chain alternatives t...
Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requirin...
BACKGROUND: Gastric cancer (GC) is the fifth most common malignant tumor worldwide. The peritoneum i...
BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particula...
OBJECTIVE: Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine l...
INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in ...
OBJECTIVE: The diagnosis of liver fibrosis is usually based on histopathological examination of live...