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

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 develo...

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Detalles Bibliográficos
Autores principales: Iacucci, Marietta, Cannatelli, Rosanna, Parigi, Tommaso L., Nardone, Olga M., Tontini, Gian Eugenio, Labarile, Nunzia, Buda, Andrea, Rimondi, Alessandro, Bazarova, Alina, Bisschops, Raf, del Amor, Rocio, Meseguer, Pablo, Naranjo, Valery, Ghosh, Subrata, Grisan, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060056/
https://www.ncbi.nlm.nih.gov/pubmed/36228649
http://dx.doi.org/10.1055/a-1960-3645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060056/
https://www.ncbi.nlm.nih.gov/pubmed/36228649
http://dx.doi.org/10.1055/a-1960-3645

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