Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Major depressive disorder (MDD) is highly recurrent, and psychosocial stress is a central precipitan...
Using an analysis pipeline that combines machine learning-based feature selection with classical sta...
Antibodies can originate from various sources such as animal immunizations, patient material, DNA/RN...
BACKGROUND & AIMS: Inflammatory bowel disease (IBD) is often diagnosed months to years after symptom...
Background and aims. Inflammatory Bowel Disease (IBD) is a complex immune-mediated condition with a ...
Background There are currently no available biomarkers that predict the clinical outcome of ulcerati...
A significant problem in endoscopic image analysis is that the machine learning (ML) models used for...
Geometric understanding supports endoscopic navigation and robotic assistance, but learning reliable...
The use of bacteriophage (phage) to treat bacterial infections is undergoing a resurgence due to the...
Pediatric endoscopy is performed only when clinically indicated, limiting access to healthy duodenal...
Monocular colonoscopic 3D reconstruction is important for surgical robotic colonoscopy, but remains ...
Background and study aims: Endoscopic assessment of ulcerative colitis (UC) is central to clinical d...
Synthetic image and mask pairs can alleviate scarce colonoscopy annotations, but realistic synthesis...
Background and Objective: Colonoscopy recording practice preserves text reports and still photograph...
woma is a real-time foundation model for gastrointestinal endoscopy: a network trained without label...
In real-time colonoscopy, ground-truth annotations are unavailable at inference, so polyp segmentati...
Medical image segmentation remains difficult to scale because high-performing methods typically rely...
University students experience disproportionately high rates of common mental health conditions, suc...
Since copy number variations (CNVs) in pharmacogenes can cause significant alterations in drug metab...
Accurate polyp segmentation is critical for computer-aided colonoscopy, yet endoscopic images often ...
Computer-aided detection (CADe) systems for colonoscopy promise to reduce clinical miss rates, yet r...