A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis
Conference poster
Iacucci M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O. M., Tontini, G. E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., Del Amor, R., Ferraz, J. G., Goetz, M., Gui, S. X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E. S., Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. (2022). A Virtual Chromoendoscopy Artificial Intelligence System To Detect Endoscopic And Histologic Remission In Ulcerative Colitis. Digestive Disease Week - DDW 2022. San Diego (CA) 21 - 24 May 2022
Authors | Iacucci M., Cannatelli, R., Parigi, T.L., Buda, A., Labarile, N., Nardone, O. M., Tontini, G. E., Rimondi, A., Bazarova, A., Bhandari, P., Bisschops, R., De Hertogh, G., Del Amor, R., Ferraz, J. G., Goetz, M., Gui, S. X., Hayee, B., Kiesslich, R., Lazarev, M., Naranjo, V., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Røyset, E. S., Vieth, M., Villanacci, V., Zardo, D., Ghosh, S. and Grisan, E. |
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Type | Conference poster |
Abstract | Background Methods Results Our system also had an excellent diagnostic performance for the prediction of HR in the validation set, with Se, Sp, and Accuracy of 92%, 83%, and 85% respectively, using VCE, and 83%, 87%, and 86% respectively, with WL. In the testing set performance declined modestly while remaining good. Of note, the algorithm's prediction of histology was similar in VCE and WL videos. Table 1 Conclusions Reference |
Year | 2022 |
Web address (URL) | https://eposters.ddw.org/ddw/2022/ddw-2022/355118/marietta.iacucci.a.virtual.chromoendoscopy.artificial.intelligence.system.to.html?f=listing%3D0%2Abrowseby%3D8%2Asortby%3D1%2Asearch%3Dgrisan |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
22 May 2022 | |
Publication process dates | |
Accepted | 15 Feb 2022 |
Deposited | 01 Jun 2022 |
Web address (URL) of conference proceedings | https://eposters.ddw.org/ddw/?_ga=2.65841070.168621235.1653907142-1056450784.1653907142#!*menu=6*browseby=3*sortby=2*ce_id=2236 |
https://openresearch.lsbu.ac.uk/item/90y9x
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Accepted author manuscript
A VIRTUAL CHROMOENDOSCOPY ARTIFICIAL INTELLIGENCE SYSTEM TO DETECT ENDOSCOPIC AND HISTOLOGIC REMISSION IN ULCERATIVE COLITIS.docx | ||
License: CC BY 4.0 | ||
File access level: Open |
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