Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis.

Fiche publication

Date publication

septembre 2024

Journal

Inflammatory bowel diseases

Auteurs

Membres identifiés du Cancéropôle Est :
Pr PEYRIN-BIROULET Laurent

Tous les auteurs :
Rubin DT, Kubassova O, Weber CR, Adsul S, Freire M, Biedermann L, Koelzer VH, Bressler B, Xiong W, Niess JH, Matter MS, Kopylov U, Barshack I, Mayer C, Magro F, Carneiro F, Maharshak N, Greenberg A, Hart S, Dehmeshki J, Peyrin-Biroulet L

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/39284932

Résumé

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by increased stool frequency, rectal bleeding, and urgency. To streamline the quantitative assessment of histopathology using the Nancy Index in UC patients, we developed a novel artificial intelligence (AI) tool based on deep learning and tested it in a proof-of-concept trial. In this study, we report the performance of a modified version of the AI tool.