Artificial intelligence assessment of endoscopic severity and extent: A machine learning approach to continuous evaluation of endoscopic inflammation in ulcerative colitis.

Alvin T George¹, Klaus Gottlieb², Daniel R Colucci³, William J Eastman², Shrujal Baxi³, Chakib Battioui², Julian Lehrer³, Evan Yu³, Pavel Brodskiy³, Yeli Wang³, Darren Thomason³, Mohammad Haft-Javaherian³, David T Rubin¹

¹Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago Medicine Inflammatory Bowel Disease Center, Chicago, IL 60637,United States.

²Eli Lilly and Company, Clinical Research, Indianapolis, IN 46285, United States.

³Iterative Health Inc., Life Sciences, Cambridge, MA 02138, United States.

PubMed DOI

Abstract

BACKGROUND: The endoscopy subscore is a therapeutic endpoint in ulcerative colitis trials but is limited by reader variability and inability to fully capture the degree of inflammation across the colon. We developed the artificial intelligence assessment of endoscopic severity and extent (AI-ESe), a continuous, more granular assessment of inflammation throughout the colon to better capture the tot…

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