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Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

Andrew FaganMary Leslie GallagherTravis MouselBrian C DavisMichael FuchsPuneet PuriJacob AnsteyDavid TiedeDouglas A SimonettoAsaf KrausJasmohan Singh Bajaj
Published in: The American journal of gastroenterology (2023)
Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially, controls (N = 13) and cirrhosis patients on lactulose/not on lactulose (n = 33) were trained on the app. They entered self-reported BSS (self-BSS) with AI-BSS communicated. Lactulose dose changes were tracked. A subset (n = 12) was retested with AI communication blocked. Most subjects were comfortable with the app. Self/AI-BSS and lactulose dose/AI-BSS correlation increased with app use. AI-BSS communications improved insight into self-BSS over time. Dieta app to gauge stool AI characteristics was acceptable and increased insight into lactulose dose and BSS in cirrhosis.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • early onset
  • ejection fraction
  • convolutional neural network
  • ultrasound guided
  • smoking cessation
  • replacement therapy