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

Journal: Techniques in coloproctology
PMID: 35233723

Abstract

BACKGROUND: Pouchitis is one of the major postoperative complications of ulcerative colitis (UC), and it is still difficult to predict the development of pouchitis after ileal pouch-anal anastomosis (IPAA) in UC patients. In this study, we examined whether a deep learning (DL) model could predict the development of pouchitis.

Authors

  • S Mizuno
    Department of Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • K Okabayashi
    Department of Surgery, Keio University School of Medicine, 35 Shinano-Machi Shinjuku-Ku, Tokyo, 1608582, Japan. okabayashikoji@gmail.com.
  • A Ikebata
    Department of Surgery, Saitama Medical Center, Saitama, Japan.
  • S Matsui
    Department of Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • R Seishima
    Department of Surgery, Keio University School of Medicine, 35 Shinano-Machi Shinjuku-Ku, Tokyo, 1608582, Japan.
  • K Shigeta
    Department of Surgery, Keio University School of Medicine, 35 Shinano-Machi Shinjuku-Ku, Tokyo, 1608582, Japan.
  • Y Kitagawa
    Department of Surgery, Keio University School of Medicine, 35 Shinano-Machi Shinjuku-Ku, Tokyo, 1608582, Japan.

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