Artificial Intelligence- and Physician-Interpreted Stool Image Characteristics Correlate With C-Reactive Protein Among Inpatients With Acute Severe Ulcerative Colitis: A Pilot Study.

Sarah Rotondo-TrivetteViankail Cedillo CastelanKushagra MathurPauline YasmehAsaf KrausAddison LynchDermot P B McGovernGil Y Melmed

Published in: Crohn's & colitis 360 (2024)

Smartphone application AI measurements of Bristol stool scale, stool consistency, and stool fragmentation significantly correlate with CRP values in hospitalized patients with ASUC. Additionally, median CRPs are higher when mucus is seen. Further training of smartphone-based AI algorithms to validate the association of stool characteristics with objective inflammation may yield a novel, noninvasive tool for UC disease monitoring.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
ulcerative colitis
emergency department
oxidative stress
primary care
liver failure
drug induced
intensive care unit
early onset
respiratory failure
mechanical ventilation