The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model.

Journal: International journal of surgical pathology
PMID: 37880949

Abstract

Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) platform "Teachable Machine" to train a model that could distinguish between histological images of UC, non-UC coloproctitis, adenocarcinoma, and control. A total of 5100 histological images for training and 900 histological images for testing were prepared by pathologists. Our model showed accuracies of 0.99, 1.00, 0.99, and 0.99, for UC, non-UC coloproctitis, adenocarcinoma, and control, respectively. This is the first report in which a no-code easy AI platform has been able to comprehensively recognize the distinctive histologic patterns of UC.

Authors

  • Yuichiro Hamamoto
    Department of Diagnostic Pathology, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Michihiro Kawamura
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Hiroki Uchida
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Kazuhiro Hiramatsu
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Chiaki Katori
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Hinako Asai
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.
  • Shigeki Shimizu
    Department of Clinical Laboratory, National Hospital Organization Kinki-Chuo Chest Medical Center, Kita-ku, Sakai, Osaka, Japan.
  • Satoshi Egawa
    Department of Gastroenterology, Osaka Police Hospital, Osaka, Japan.
  • Kyotaro Yoshida
    Department of Clinical Laboratory, Kinki Central Hospital of Mutual Aid Association of Public School Teachers, Itami, Hyogo, Japan.

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