Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Objective: Ulcerative colitis (UC), characterized by chronic inflammation with alternating remissi...
Pre-training on image-text colonoscopy records offers substantial potential for improving endoscop...
BACKGROUND: Achieving long-term clinical remission in Crohn's disease (CD) with antitumor necrosis f...
Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is cha...
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...
BACKGROUND AND AIMS: Inflammatory bowel diseases (IBD) are chronic conditions that can lead to a phy...
Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the p...
The generation of realistic medical images from text descriptions has significant potential to add...
Steroids are biologically active polycyclic compounds that have garnered significant scientific atte...
Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic in...
Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doct...
OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical ...
Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...
Accurate depth estimation enhances endoscopy navigation and diagnostics, but obtaining ground-trut...
Colonoscopy is vital in the early diagnosis of colorectal polyps. Regular screenings can effective...
Inflammatory bowel disease (IBD) involves chronic inflammation of the digestive tract, with treatm...
BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopie...
In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. ...
Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy a...
Introduction: This study provides a comprehensive performance assessment of vision-language models...