AI-enabled Endoscopic Prediction of Post-operative Recurrence in Crohn's Disease

This is a multicentre prospective international observational study. This study aims to introduce a novel multidimensional approach to precision imaging, enabling the identification and stratification of high-risk patients who can potentially benefit from early treatments to halt the progression of Crohn's disease (CD). The investigators will develop a novel endoscopic assessment system using endoscopic enhanced imaging (EEI) to evaluate early post-surgical changes and predict post-operative CD recurrence (POCr). By integrating with immune marker profiling, clinical data, and AI assessment of EEI and histology, the investigators further plan to improve risk stratification and reduce interobserver variability.