Artificial Intelligence Model for Time Series Classification: Prediction of Delayed Balloon Expulsion Test Using High-Resolution Anorectal Manometry Data and Time-Series Integrated Pressurized Volume.

Journal: Neurogastroenterology and motility
Published Date: Apr 3, 2025

Abstract

BACKGROUND: We previously demonstrated the novel concept of using the integrated pressurized volume (IPV) with high-resolution anorectal manometry (HRAM) and found that it was predictive of delayed balloon expulsion (BE) test results. However, previous IPV methods did not account for chronological changes in anorectal force. To fully utilize the temporal dynamics of HRAM data and enhance BE test prediction, we introduced time-series IPVs (TS-IPVs) and developed an artificial intelligence (AI)-based diagnostic model.

Authors

  • Myeongsook Seo
    Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kiwon Yoon
    Department of Biomedical Engineering, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kee Wook Jung
    Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seung-Jae Myung
    Department of Gastroenterology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Satish S C Rao
    Division of Gastroenterology, Augusta University, Augusta, Georgia, USA.
  • Segyeong Joo
    Department of Biomedical Engineering, University of Ulsan College of Medicine, Seoul, Republic of Korea.

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