Tu1501 AI-ENABLED ENDOSCOPY AND QUANTITATIVE HISTOLOGY PROVIDE NOVEL INSIGHTS INTO RELATIONSHIP BETWEEN MACROSCOPIC AND MICROSCOPIC INFLAMMATION IN ULCERATIVE COLITIS
Walter Reinisch, David T. Rubin, David Gayda, Rhian Taylor et autres
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Walter Reinisch, David T. Rubin, David Gayda, Rhian Taylor et autres
Walter Reinisch, David T. Rubin, David Gayda, Rhian Taylor et autres
W Reinisch, D T Rubin, David Gayda, Rachael Taylor et autres
Abstract Background In Ulcerative Colitis (UC) clinical trials, endoscopy and histology are complementary to evaluate disease activity. While endoscopy is the gold standard for assessing mucosal healing, histology is increasingly vital because microscopic inflammation can persist even with normal-appearing endoscopic findings. While …
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Klaus T. Gottlieb, Chakib Battioui, Yeli Wang, Pavel Brodskiy et autres
OBJECTIVE: Endoscopic scoring of disease activity is essential in ulcerative colitis trials but is limited by inter-reader variability and operational complexity. We evaluated a novel central reading paradigm integrating two independently developed machine learning models with human adjudication for discordant cases ('2M+1H') …
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Steven M. Muskal, Joe Sliman, John F. Kokai‐Kun, Mark Pimentel et autres
Methane produced by the methanoarchaeon Methanobrevibacter smithii ( M. smithii ) has been linked to constipation, irritable bowel syndrome with constipation (IBS-C), and obesity. Lovastatin, which demonstrates a cholesterol-lowering effect by the inhibition of HMG-CoA reductase, may also have an anti-methanogenesis effect …
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David T. Rubin, Walter Reinisch, Neeraj Narula, Daniel R. Colucci et autres
BACKGROUND: The Mayo endoscopic score (MES) provides a criterion-based, but still subjective, human assessment of endoscopy and related endpoints in therapeutic clinical trials in ulcerative colitis (UC). A novel solution to address issues of reproducibility is the use of machine learning (ML) …
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Josh Lehrer, Pavel Brodskiy, Mohammad Haft‐Javaherian, Daniel R. Colucci et autres
Introduction: Artificial Intelligence assessment of Endoscopic Severity and Extent (AI-ESe) is a deep learning approach to continuous assessment of inflammation on endoscopy in ulcerative colitis (UC). Initial approaches assess inflammation via uniform temporal sampling over the procedure video. However, stalling - defined …
Pavel Brodskiy, Josh Lehrer, Mohammad Haft‐Javaherian, Daniel R. Colucci et autres
Introduction: Artificial intelligence has been extensively applied to assess endoscopic disease severity in ulcerative colitis; however, its use in Crohn’s disease (CD) is limited. In CD, the presence of ulcers is a key marker of active mucosal inflammation and has emerged as …
Chakib Battioui, Pavel Brodskiy, Klaus T. Gottlieb, Mohammad Haft‐Javaherian et autres
Introduction: Regulatory guidance recommends the endoscopy subscore as the index to assess the endoscopic component of the primary endpoint in ulcerative colitis (UC) trials. Inter-reader variability in assessments may impact the reliability of trial results. Currently, there is no metric in place …
Chakib Battioui, Pavel Brodskiy, Klaus T. Gottlieb, Mohammad Haft‐Javaherian et autres
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