Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Artificial intelligence (AI) de novo molecular generation provides leads with novel structures for d...
BACKGROUND: Inflammatory bowel disease (IBD) includes Crohn's Disease (CD) and Ulcerative Colitis (U...
Osteosarcoma is a primary malignant tumor that commonly affects children and adolescents, with a poo...
The emerging role of artificial intelligence (AI) in automated endoscopic diagnosis represents a sig...
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mut...
Toxicological studies have demonstrated the hepatic toxicity of several bisphenol analogs (BPs), a p...
BACKGROUND: Real-time prediction of histologic features of small colorectal polyps may prevent resec...
BACKGROUND AND AIM: Reliable bowel preparation assessment is important in colonoscopy. However, curr...
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to revol...
BACKGROUND AND STUDY AIM: High-definition virtual chromoendoscopy, along with targeted biopsies, is ...
Colorectal cancer (CRC) prevention requires early detection and removal of adenomas. We aimed to dev...
BACKGROUND AND AIM: The study aims to introduce a novel indicator, effective withdrawal time (WTS), ...
OBJECTIVES: Differentiating intestinal tuberculosis (ITB) from Crohn's disease (CD) remains a diagno...
Image-based deep learning models are used to extract new information from standard hematoxylin and e...
This study reviews the recent progress of artificial intelligence for colonoscopy from detection to ...
INTRODUCTION: Colonoscopy is a critical diagnostic tool for colorectal diseases; however, its effect...
BACKGROUND: The relationship between systemic inflammatory index (SII), sex steroid hormones, dietar...
Mucormycosis, a rare but deadly fungal infection, was an epidemic during the COVID-19 pandemic. The ...
Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The accurate localiz...
Permeabilities of various trace elements (TEs) through the blood-follicle barrier (BFB) play an impo...
OBJECTIVE: To assess the diagnostic value of combining plasma steroid profiling with machine learnin...