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The first virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic remission in Ulcerative Colitis

  • M. Iacucci
  • , Rosanna Cannatelli
  • , T. L. Parigi
  • , A. Buda
  • , N. Labarile
  • , O. M. Nardone
  • , G. E. Tontini
  • , A. Rimondi
  • , A. Bazarova
  • , P. Bhandari
  • , R. Bisschops
  • , G. De Hertogh
  • , R. Del Amor
  • , J. G. Ferraz
  • , M. Goetz
  • , X. Gui
  • , B. Hayee
  • , R. Kiesslich
  • , M. Lazarev
  • , V. Naranjo
  • R. Panaccione, A. Parra-Blanco, L. Pastorelli, T. Rath, E. S. Royset, M. Vieth, V. Villanacci, D. Zardo, S. Ghosh, E. Grisan
  • University of Birmingham
  • University of Milan
  • Humanitas University
  • S. Maria del Prato Hospital
  • IRCCS S. de Bellis Research Hospital
  • University of Naples Federico II
  • Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico
  • University of Cologne
  • Portsmouth Hospitals University NHS Trust
  • KU Leuven
  • Polytechnic University of Valencia
  • University of Calgary
  • Klinikum
  • University of Washington
  • London South Bank University
  • University of Padua

Research output: Contribution to journal › Meeting abstract › peer-review

Abstract

Endoscopic and histologic activity are important therapeutic targets in ulcerative colitis (UC). The Paddington International Virtual ChromoendoScopy ScOre (VCE-PICaSSO)1 demonstrated that enhanced visualisation of subtle mucosal and vascular inflammatory changes correlated strongly with histology. However, without adequate training, the subjective evaluation of white light (WL) and VCE endoscopic scores varies between observers. We aimed to develop an artificial intelligence (AI) system for objective assessment of endoscopic disease activity and predict histology related to both white light and VCE videos.
Original languageEnglish
Pages (from-to)I017-I018
Number of pages2
JournalJournal of Crohn's and Colitis
Volume16
DOIs
Publication statusPublished - 21 Jan 2022
Event17th Congress of European Crohn's and Colitis Organisation (ECCO) 2022 - Virtual
Duration: 16 Feb 2022 → 19 Feb 2022

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