Latest AI and machine learning research in gastroenterology for healthcare professionals.
Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in ...
BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with incr...
BACKGROUND: Hepatocellular carcinoma (HCC) is a prevalent tumor with high mortality rates. Computed ...
MicroRNAs (miRNA) are endogenous non-coding RNAs, typically around 23 nucleotides in length. Many mi...
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in c...
INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) represents a major global health challenge, ...
This review examines the recent developments in deep learning (DL) techniques applied to multimodal ...
BACKGROUND: Precise evaluation of pathological complete response (pCR) is essential for determining ...
BACKGROUND: Esophageal motility disorders are mainly evaluated with high-resolution manometry (HRM) ...
Focal liver lesions (FLL) are common incidental findings in abdominal imaging. While the majority of...
Nuclear-derived morphological features and biomarkers provide relevant insights regarding the tumour...
OBJECTIVES: This study was designed to assess computed tomography (CT)-based radiomics of colorectal...
BACKGROUND: Signet ring cell (SRC) gastric carcinoma is traditionally associated with a poor prognos...
BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality...
Lymph-node status is important in decision-making during early gastric cancer (EGC) treatment. Curre...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significan...
Recent advancements in deep learning have significantly improved the intelligent classification of g...
Colon cancer poses a significant threat to human life with a high global mortality rate. Early and a...
BACKGROUND: Crohn's disease is a complex genetic disease that involves chronic gastrointestinal infl...
AIM: In this research, we aimed to develop a model for the accurate prediction of gastric cancer bas...
BACKGROUND AND OBJECTIVE: The effectiveness of radiofrequency ablation (RFA) in improving long-term ...