The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Inflammatory bowel disease is a progressive and debilitating condition. Early and effective
treatment utilizing a treat to target approach is key in improving patient outcomes. Therefore …

Histological remission is evolving as an important treatment target in UC. We aimed to
develop a simple histological index, aligned to endoscopy, correlated with clinical outcomes …

Endoscopic evaluation to reliably grade disease activity, detect complications including
cancer and verification of mucosal healing are paramount in the care of patients with …

Increased knowledge of the intricate pathogenesis of ulcerative colitis has triggered an
advance in drug development during the past two decades, resulting in the advent of several …

Artificial intelligence (AI) has arrived and it will directly impact how we assess, monitor, and
manage inflammatory bowel disease (IBD). Advances in the machine learning …

Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and
relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …

Methods: Here we propose an end-to-end fully automated system based on deep learning to
predict a binary version of the Mayo Clinic Endoscopic Subscore directly from raw …

Background A combination of endoscopic and histological evaluation is important in the
management of patients with ulcerative colitis. We aimed to adapt our previous deep neural …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …