Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
INTRODUCTION: Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestinal tract comprising two major phenotypes, Crohn's disease (CD) and ulcerative colitis (UC). Up to 8% of patients with IBD also develop primary sclerosing cholangitis (PSC), characterised by cholestasis and progressive destruction of the biliary tree, resulting in cirrhosis, end-stage l...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. This two-part review provides a comprehensive framework for understanding and implementing AI technologies in surgical practice. OBJECTIVE: Part I examines fundamental artificial intelligence concepts, clinical applications across the surgical continuum...
Large scale sequencing efforts have defined up to 27 diagnostic entities in B-ALL, leaving few samples without subtype assignment. Extended genomic an...
BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) genomes is characterized by a high prevalence of copy...
INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic immune thrombocytopenia (ITP) by directly targeting i...
Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...
BACKGROUND: Identifying patients with first-episode psychosis (FEP) who are unlikely to achieve early clinical recovery (ECR) is critical for personal...
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality. Effective management of these conditions require...
Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that interfere with steroidogenesis and folliculogenesis, p...
BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it remains unclear whether CADe affects endoscopist's...
BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, particularly in radiology, pathology, endoscopy, and ...
Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endosco...
OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with bowel preparation serving as a key determinant of i...
BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its application in lupus nephritis (LN) remains underexplo...
BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT...
BACKGROUND/AIMS: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may not capture mucosal examination quality. We develop...
The substitution of a urine sample that may result in an adverse analytical finding with a previously collected, clean sample is strictly prohibited u...