Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND AND OBJECTIVES: Videomics, which integrates video-endoscopy and artificial intelligence, ...
Accurate prognostic stratification is essential for optimizing postoperative therapeutic strategies ...
PURPOSE: To evaluate the predictive performance of a clinical-CT-radiomics nomogram based on radiomi...
BACKGROUND AND AIMS: The substantial miss rate during screening and surveillance colonoscopy, partic...
PURPOSE: Artificial Intelligence (AI) is increasingly recognized for its potential in improving the ...
Gastric cancer is among the most common diseases worldwide and can lead to fatal outcomes. Early dia...
Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related deaths, with accurate s...
Postoperative complications following rectal cancer surgery can significantly affect patient's healt...
OBJECTIVES: Constructing a multi-task global decision support system based on preoperative enhanced ...
BACKGROUND: Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder with a s...
Metabolic dysfunction-associated fatty liver disease (MAFLD) poses a serious threat to human health....
BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objec...
PURPOSE: The Liver Imaging Reporting and Data System (LI-RADS) assessment is subject to inter-reader...
Endoscopic ultrasonography (EUS) is the most sensitive modality for accurately establishing a tissue...
Echinococcosis is a zoonotic parasitic disease characterized by its insidious nature and severe heal...
BACKGROUND: Gastric cancer (GC) remains a major global health concern, ranking as the fifth most pre...
OBJECTIVES: To evaluate the performance of artificial intelligence (AI)-based models in predicting e...
Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh am...
Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new...
Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up...
This study proposed a new quality control indicator for colonoscopy, the cumulative colorectal mucos...