A virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in ulcerative colitis

Authors: Rosanna Cannatelli, Tommaso L. Parigi, Marietta Iacucci, Olga M. Nardone, Gian Eugenio Tontini, Nunzia Labarile, Andrea Buda, Alessandro Rimondi, Alina Bazarova, Raf Bisschops, Rocio del Amor, Pablo Meseguer, Valery Naranjo, Subrata Ghosh, Enrico Grisan,

Published: 2022-10-13

DOI: 10.1055/a-1960-3645

Source: Full article

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Abstract

Background Endoscopic and histological remission (ER, HR) are therapeutic targets in ulcerative colitis (UC). Virtual chromoendoscopy (VCE) improves endoscopic assessment and the prediction of histology; however, interobserver variability limits standardized endoscopic assessment. We aimed to develop an artificial intelligence (AI) tool to distinguish ER/activity, and predict histology and risk of flare from white-light endoscopy (WLE) and VCE videos.