An artificial intelligence-driven scoring system to measure histological disease activity in ulcerative colitis.

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

https://www.ncbi.nlm.nih.gov/pubmed/38590110

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;: