Latest AI and machine learning research in gastroenterology for healthcare professionals.
INTRODUCTION: Transjugular intrahepatic portosystemic shunt (TIPS) relieves portal hypertension, but...
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is the most prevalent chronic liver...
Metabolic dysfunction-associated steatohepatitis-related liver cancer (MASH-HCC) is an increasingly ...
BACKGROUND AND AIMS: Pre-resection prediction of submucosal invasion is pivotal for endoscopic submu...
BACKGROUND: Predicting response to somatostatin analogs (SSAs) in gastroenteropancreatic neuroendocr...
PURPOSE: Accurate identification of liver MRI series is crucial for streamlining clinical workflows,...
Accurate assessment of mucosal healing (MH) in small bowel Crohn's disease (SBCD) remains challengin...
BACKGROUND: Large language models (LLMs) such as GPT-4 are being evaluated for their use as supporti...
Cell-state diversity drives tissue adaptability, repair, and disease resilience, but capturing this ...
Probe-based confocal laser endomicroscopy (pCLE), as a powerful medical device for detecting digesti...
PURPOSE: To investigate the association between AI-derived probability of interstitial lung abnormal...
BACKGROUND: Hepatopancreatobiliary (HPB) malignancies require complex treatment planning that often ...
BACKGROUND: Reflux esophagitis (RE) is a common gastroesophageal disorder among candidates for metab...
Pancreatic cancer is one of the most lethal digestive system malignancies worldwide, characterized b...
AIMS: Colorectal cancer (CRC) remains a major cause of cancer mortality, with up to 26% of adenomas ...
Gastric cancer (GC) is currently the fifth most common cancer globally, often driven by dysregulatio...
Despite major advances in liver-on-a-chip and organoid technologies, most current in vitro liver mod...
PURPOSE: High complexity of modern processes renders manual process optimization impossible. The mai...
BACKGROUND: Metabolic dysfunction associated fatty liver disease (MAFLD) is linked to chronic low-gr...
Objective: To develop an artificial intelligence model based on electronic nasopharyngolaryngoscopic...
BACKGROUND: The gut microbiota of living organ donors has been linked to transplant outcomes. Howeve...