Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Current prediction models are suboptimal for determining mortality risk in patients with...
BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challe...
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction...
Drug-induced liver injury (DILI) toxicity is a condition when drugs have a destructive effect on the...
PURPOSE: Gastrointestinal (GI) dilatations are frequently observed in radiographs of pediatric patie...
INTRODUCTION: Endoscopic classification of ulcerative colitis (UC) shows high interobserver variatio...
Gene selection is crucial for cancer classification using microarray data. In the interests of impro...
OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patie...
RATIONALE AND OBJECTIVES: This study constructed an interpretable machine learning model based on mu...
Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge, necessitating...
INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...
: Liver cancer ranks among the leading causes of cancer-related mortality, necessitating the develop...
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm...
BACKGROUND: Crohn's disease (CD) often necessitates surgical intervention, with temporary stoma crea...
BACKGROUND: To compare the influence of rectal susceptibility artifacts on the subjective evaluation...
Interferon (IFN) is a pivotal agent against hepatitis B virus (HBV) in clinic, but there is a lack o...
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...
BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therap...
Accurate segmentation of hepatic vessels is pivotal for guiding preoperative planning in ablation su...
Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...