Latest AI and machine learning research in gastroenterology for healthcare professionals.
With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-qu...
Advancements in omics technologies and artificial intelligence (AI) methodologies are fuelling our p...
Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factor...
BACKGROUND: Laparoscopic cholecystectomy is the preferred treatment for symptomatic cholelithiasis a...
BACKGROUND: The automated classification of Helicobacter pylori infection status is gaining attentio...
The integration of artificial intelligence (AI) in health care has the potential to enhance diagnost...
BACKGROUND: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocogniti...
Accurately extracting organs from medical images provides radiologist with more comprehensive eviden...
This study sought to establish and validate an interpretable CT radiomics-based machine learning mod...
OBJECTIVE: The objective of this study was to develop and validate a clinically applicable nomogram ...
OBJECTIVE: The artificial pancreas (AP) shows promise for closed-loop glucose control in type 1 diab...
BACKGROUND: Hepatocellular carcinoma (HCC) accounts for over 80% of primary liver cancers and is the...
The ban on antibiotics in the poultry diet resulted in re-emergence of several infectious diseases i...
Accurate automatic polyp segmentation in colonoscopy is crucial for the prompt prevention of colorec...
BACKGROUND: The wireless capsule endoscope (CE) is a valuable diagnostic tool in gastroenterology, o...
Serum levels of the tumor marker CA 19-9 are widely utilized in the diagnosis and monitoring pancrea...
Heat-stress-induced oxidative and inflammatory responses were important factors contributing to chic...
RATIONALE AND OBJECTIVES: The precise prediction of response to neoadjuvant chemoradiotherapy is cru...
In the context of chronic liver diseases, where variability in progression necessitates early and pr...
In this work, an integrated microfluidic microwave array sensor is proposed for the enrichment and d...
PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...