Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND AND AIM: The study aims to introduce a novel indicator, effective withdrawal time (WTS), ...
BACKGROUND: The conversion from a temporary to a permanent stoma (PS) following rectal cancer surger...
Survival analysis is employed to analyze the time before the event of interest occurs, which is broa...
INTRODUCTION: Well-calibrated models for personalized prognostication of patients with gastrointesti...
PURPOSE: To develop a non-invasive auxiliary assessment method based on CT-derived extracellular vol...
OBJECTIVES: Differentiating intestinal tuberculosis (ITB) from Crohn's disease (CD) remains a diagno...
BACKGROUND: Rectal tumors display varying degrees of response to total neoadjuvant therapy (TNT). We...
RATIONALE AND OBJECTIVES: To develop and validate a deep learning radiomics (DLR) model based on con...
Epithelial-mesenchymal transition (EMT) plays a crucial role in regulating inflammatory responses an...
This study reviews the recent progress of artificial intelligence for colonoscopy from detection to ...
Nonalcoholic fatty liver disease (NAFLD) has emerged as the predominant chronic liver condition glob...
Crohn's disease (CD) poses significant morbidity, underscoring the need for effective, non-invasive ...
Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; valid...
Ensuring the safety and efficacy of chemical compounds is crucial in small-molecule drug development...
INTRODUCTION: Colonoscopy is a critical diagnostic tool for colorectal diseases; however, its effect...
BACKGROUND: Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PD...
BACKGROUND AND AIMS: Ensemble machine-learning methods, like the superlearner, combine multiple mode...
Since most Hepatocellular Carcinoma (HCC) typically arises as a consequence of long-term liver damag...
Deep convolutional neural networks have made significant strides in the field of medical image segme...
OBJECTIVE: The purpose of this study was to develop an individual survival prediction model based on...
BACKGROUND: The accuracy of artificial intelligence (AI) and experts in diagnosing early esophageal ...