Quantification of Celiac Disease Severity Using Video Capsule Endoscopy:A Comparison of Human Experts and Machine Learning Algorithms

Abstract

A novel MLA demonstrated excellent agreement on whole SI imaging with three expert gastroenterologists. An ordinal scale permitted high inter-reader agreement, accurately and reliably replicated by the MLA. Interpreting VCEs using MLAs may allow automated diagnosis and disease burden assessment in CeD.