Latest AI and machine learning research in gastroenterology for healthcare professionals.
Accurate survival prediction in peritoneal dialysis (PD) patients is essential for personalized trea...
BACKGROUND: Early and late hepatocellular carcinoma (HCC) recurrences, which are driven by residual ...
PURPOSE: To develop and validate DeepMocor, a deep learning-based method for motion-compensated 4-di...
BackgroundThe incidence of anastomotic leakage (AL) following radical gastrectomy for gastric cancer...
Pancreatic disease affects over 10% of the world population, and the most dangerous is pancreatic ca...
PURPOSE: This study aimed to assess the performance of a deep learning model using multimodal imagin...
BACKGROUND & AIMS: Invasive measurement of hepatic venous pressure gradient (HVPG) is the gold stand...
Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal c...
Genetic and epigenetic variation in enhancers is associated with disease susceptibility; however, li...
Interpersonal motor synchronization relies on precise neural coordination, yet its underlying brain ...
BACKGROUND: Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic...
Diagnosing Helicobacter pylori infection and premalignant gastric conditions typically requires 13C ...
Withdrawal time has emerged as a critical quality measure in colonoscopy for colorectal cancer scree...
BACKGROUND AND AIMS: Autonomous mobile robots (AMRs) have an increasingly wide range of medical appl...
BACKGROUND & AIMS: Esophageal motility disorders, such as achalasia, require the use of multiple tes...
BACKGROUND & AIMS: Assessment of histologic disease activity (grading) and fibrosis (staging) is a p...
PURPOSE: Conventional magnetic resonance imaging (MRI) for locally advanced rectal cancer (LARC) inv...
BackgroundNecrotizing enterocolitis (NEC) is an intestinal ischemic disease that affects preterm inf...
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...