Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Large scale sequencing efforts have defined up to 27 diagnostic entities in B-ALL, leaving few sampl...
BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) gen...
INTRODUCTION: Thrombopoietin receptor agonists (TPO-RAs) have reshaped the management of chronic imm...
Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells bre...
BACKGROUND: Identifying patients with first-episode psychosis (FEP) who are unlikely to achieve earl...
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality...
Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that inte...
BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it ...
BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, par...
Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel ...
OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with b...
BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its appl...
BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treat...
BACKGROUND/AIMS: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may n...
The substitution of a urine sample that may result in an adverse analytical finding with a previousl...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...
Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused b...
BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostat...