Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
OBJECTIVE: Ulcerative colitis (UC) is a chronic inflammatory bowel disease for which remission is de...
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment...
Large language model (LLM) chatbots show increasing promise in persuasive communication. Yet their...
Accurate segmentation of polyps from colonoscopy images is crucial for the early diagnosis and tre...
Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to redu...
Automated polyp counting in colonoscopy is a crucial step toward automated procedure reporting and...
Polyp segmentation in colonoscopy images is crucial for early detection and diagnosis of colorecta...
BACKGROUND AND AIMS: Real-world studies on vedolizumab in inflammatory bowel disease (IBD) are often...
INTRODUCTION: This randomized, prospective study (MATCH) was designed to assess the clinical utility...
OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains uns...
Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major D...
Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, th...
This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images,...
A major challenge in applying deep learning to medical imaging is the paucity of annotated data. Thi...
This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use...
BACKGROUND AND AIMS: Insufficient bowel preparation accounts for up to 42% of missed adenomas in col...
We introduce XYZ-IBD, a bin-picking dataset for 6D pose estimation that captures real-world indust...
Colorectal cancer often arises from precancerous polyps, where accurate size assessment is vital for...
Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accu...
The radiological dosimetric parameters and clinical features were screened by machine learning to co...
Circulating tumor cells (CTCs) serve as valuable biomarkers in tumor circulation, carrying essential...