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Iacucci, M.; Cannatelli, R.; Parigi, TL.; Nardone, OM.; Tontini, GE.; Labarile, N.; Buda, A.... (2023). A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis. Endoscopy. 55(4):332-341. https://doi.org/10.1055/a-1960-3645
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/192672
Título: | A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis | |
Autor: | Iacucci, Marietta Cannatelli, Rosanna Parigi, Tommaso L. Nardone, Olga M. Tontini, Gian Eugenio Labarile, Nunzia Buda, Andrea Rimondi, Alessandro Bazarova, Alina Bisschops, Raf Ghosh, Subrata Grisan, Enrico | |
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[EN] 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, ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | https://doi.org/10.1055/a-1960-3645 | |
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