Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Nasopharyngeal carcinoma (NPC) poses significant diagnostic challenges due to the anatom...
BACKGROUND: Gastric cancer (GC) requires novel therapies. This study employed artificial neural netw...
The Colorectal Liver Metastasis (CLM) library contains 756,096 full range Fourier transform infrared...
BACKGROUND AND AIMS: Endoscopic variceal ligation (EVL) is associated with relatively high rebleedin...
BACKGROUND: Emerging evidence highlights the significant role of Neutrophil Extracellular Traps (NET...
Acute kidney injury (AKI), a common and severe complication of acute pancreatitis (AP), is amenable ...
Predicting protein-membrane interactions is a formidable challenge due to the subtle physicochemical...
BACKGROUND: The Nonalcoholic fatty liver disease (NAFLD) is a major chronic liver condition, with it...
GOALS AND BACKGROUND: Hydrogen (H 2 ) breath testing (BT) is used to diagnose small intestinal bacte...
PURPOSE: The purpose of this study was to develop and validate a computer-aided detection (CAD) tool...
BACKGROUND: Malnourished patients hospitalized with inflammatory bowel disease (IBD) have a high ris...
OBJECTIVE: To address the challenges of developing machine learning frameworks for Electronic Health...
BACKGROUND: Gastrointestinal diseases pose a significant global health challenge, and their early sc...
BACKGROUND AND AIMS: Early detection of individuals with metabolic dysfunction-associated steatotic ...
BACKGROUND: Response surface methodology coupled with the design of experiments identifies the optim...
BACKGROUND: Traditional control of continuum robots (CRs) and hyper-redundant robots (HRRs) typicall...
PURPOSE: Endoscopically identifying eosinophilic esophagitis (EoE) is difficult due to its rare inci...
BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organi...