Practical deep learning tool for the scoring of ulcerative colitis disease activity in central reading

M Byrne, MA MD Cantab MRCP FRCPC, J East, M Iacucci, S Travis, R Kalapala, N Duvvur, H Rughwani, A Singh, S Berry, R Monsurate, F Soudan, G Laage, E Cremonese, L Canaran, L St-Denis, S Nikfal, J Asselin, M Henkel, R Panaccione

Central Reading Org.& the pharma industry employ subject matter experts(SMEs)to score videos from sites participating in clinical trials for Ulcerative Colitis(UC).As we are developing Artificial Intelligence(AI)models for scoring purposes,we need to build a new software interface that can incorporate these AI models to aid SMEs,making their determination of the scores for each segment of the video & for the video as a whole.We propose a system that reduces the time for SMEs to review & score videos,improving the accuracy of scoring,with the help of our AI models.

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Artificial Intelligence (AI) in Endoscopy – Deep Learning for Scoring of Ulcerative Colitis Disease Activity Under Multiple Scoring Systems.

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Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of artificial intelligence: a pilot study