Abstract
Endoscopic and histologic activity are important therapeutic targets in ulcerative colitis (UC). The Paddington International Virtual ChromoendoScopy ScOre (VCE-PICaSSO)1 demonstrated that enhanced visualisation of subtle mucosal and vascular inflammatory changes correlated strongly with histology. However, without adequate training, the subjective evaluation of white light (WL) and VCE endoscopic scores varies between observers. We aimed to develop an artificial intelligence (AI) system for objective assessment of endoscopic disease activity and predict histology related to both white light and VCE videos.
| Original language | English |
|---|---|
| Pages (from-to) | I017-I018 |
| Number of pages | 2 |
| Journal | Journal of Crohn's and Colitis |
| Volume | 16 |
| DOIs | |
| Publication status | Published - 21 Jan 2022 |
| Event | 17th Congress of European Crohn's and Colitis Organisation (ECCO) 2022 - Virtual Duration: 16 Feb 2022 → 19 Feb 2022 |
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