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Prediction of pouchitis after ileal pouch-anal anastomosis in patients with ulcerative colitis using artificial intelligence and deep learning.

S MizunoKoji OkabayashiA IkebataS MatsuiR SeishimaK ShigetaY Kitagawa
Published in: Techniques in coloproctology (2022)
The prediction rate of pouchitis using the DL model was more than 20% higher than that using mPDAI, suggesting the utility of the DL model as a prediction model for the development of pouchitis. It could also be used to determine early interventions for pouchitis.
Keyphrases
  • artificial intelligence
  • deep learning
  • ulcerative colitis
  • machine learning
  • big data
  • physical activity
  • high grade