Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy across medical fields. Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical settings remains underexplored. This study evaluated the performance of a YOLACT-derived Real-time Polyp Delineation Model (RTPoDeMo) for real-time use on pr...
Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate natural language processing to classify Crohn's disease (CD) on CTE. From our population representative IBD registry a sample of CD patients (male: 44.6%, m...
BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particularly in endoscopic and colonoscopic procedures. The...
INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in colorectal cancer (CRC) detection and diagnosis wi...
OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) severity and risk of osteoporosis, even after acco...
INTRODUCTION: Optical diagnosis is an essential part of a high-quality colonoscopy, but highly experience-dependent. Artificial intelligence in the fo...
The intricate interplay between the gut microbiota and the GI tract has garnered significant attention, as growing evidence has identified the inflamm...
Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial for the detection of precancerous adenomas; howev...
BACKGROUND: Artificial intelligence (AI) is becoming more integrated into healthcare, with large language models (LLMs) like ChatGPT being widely used...
BACKGROUND: Axial spondyloarthritis (AS) is a chronic inflammatory disease that significantly affects quality of life and imposes a high economic burd...
BACKGROUND: Over 20Â million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic...
BACKGROUND: Current antidepressants have shown certain limitations in the treatment of unipolar depression. Their long onset of action, interactions, ...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...
OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimmune Haemolytic Anaemia (AIHA) after the last remis...
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practic...
Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract that includes Crohn's disease (CD) and ulcerative c...
Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. Imaging plays a crucial role in their diagnosis, me...
BACKGROUND: As part of the IBD Character initiative, we examined an inception cohort and investigated mucosal microbiota composition and transcription...
Accurate reconstruction of pedigrees from genetic data remains a challenging problem. Many relationship categories (e.g. half-sibships versus avuncula...
Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, emphasizing the critical need for the accurate class...