An artificial intelligence-driven scoring system to measure histological disease activity in ulcerative colitis.
Fiche publication
Date publication
avril 2024
Journal
United European gastroenterology journal
Auteurs
Membres identifiés du Cancéropôle Est :
Pr PEYRIN-BIROULET Laurent
Tous les auteurs :
Peyrin-Biroulet L, Adsul S, Stancati A, Dehmeshki J, Kubassova O
Lien Pubmed
Résumé
Assessment and scoring of histological images in Ulcerative colitis (UC) is prone to inter- and intra-observer variability. This study aimed to investigate whether an artificial intelligence (AI) system developed using image processing and machine learning algorithms could measure histological disease activity based on the Nancy index.
Mots clés
artificial intelligence, histology, histopathology, machine learning, ulcerative colitis
Référence
United European Gastroenterol J. 2024 04 8;: