Latest AI and machine learning research in gastroenterology for healthcare professionals.
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death globally, characterized by...
PURPOSE: Wireless capsule endoscopy (WCE) is a noninvasive imaging method for the entire gastrointes...
BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating co...
BACKGROUND: Pancreatic cancer (PC) represents a highly heterogeneous malignancy with poor prognosis,...
Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, no...
BACKGROUND: Polyploidy is frequently observed in cancer cells and is closely associated with chromos...
OBJECTIVES: This study aimed to develop an interpretable, domain-generalizable deep learning model f...
BACKGROUND: The pathogenesis of inflammatory bowel disease (IBD) involves complex molecular mechanis...
BACKGROUND AND AIMS: Nurses' participation during colonoscopy has been demonstrated to significantly...
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic autoimmune disorder with an increasing pre...
Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with a poor pro...
OBJECTIVES: This study aimed to analyze preoperative multimodal magnetic resonance images of patient...
BACKGROUND: Crohn's disease (CD) is an incurable inflammatory bowel disease that can lead to a varie...
Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial inte...
BACKGROUND: Currently, there is still a lack of noninvasive, automated, and accurate machine-learnin...
PURPOSE: This meta-analysis systematically evaluated the diagnostic performance of artificial intell...
Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic...
Hepatocellular carcinoma (HCC), the third leading cause of global cancer deaths, has a high unmet cl...
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy ...
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...