Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to
revolutionise clinical practice and research. Artificial intelligence harnesses advanced …

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the
detection, monitoring, and prognostication of inflammatory bowel disease (IBD). However …

Objective To develop an interpretable artificial intelligence algorithm to rule out normal large
bowel endoscopic biopsies, saving pathologist resources and helping with early diagnosis …

Background Histologic evaluation of the mucosal changes associated with celiac disease is
important for establishing an accurate diagnosis and monitoring the impact of investigational …

Mucosal healing (MH) is the main treatment target in ulcerative colitis (UC) and Crohn's
disease, and it is defined by the combination of complete endoscopic and histologic …

Objectives Develop an interpretable AI algorithm to rule out normal large bowel endoscopic
biopsies saving pathologist resources. Design Retrospective study. Setting One UK NHS …

Crohn's Disease (CD) and Ulcerative Colitis (UC) are the two main Inflammatory Bowel
Disease (IBD) types. We developed deep learning models to identify histological disease …

In inflammatory bowel disease (IBD), mucosal healing is the primary long-term treatment
goal, encompassing both endoscopic and histological outcomes. This paper aims to …

This review aims to present a comprehensive overview of the current landscape of AI
applications in the analysis of tubular GI biopsies. These publications cover a spectrum of …

Artificial intelligence (AI) refers to computer-based methodologies which use data to teach a
computer to solve pre-defined tasks; these methods can be applied to identify patterns in …