Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study.

Journal: Neurourology and urodynamics
Published Date: Aug 1, 2025

Abstract

OBJECTIVE: We aimed to prospectively investigate whether bladder volume measured using deep learning artificial intelligence (AI) algorithms (AI-BV) is more accurate than that measured using conventional methods (C-BV) if using a portable ultrasound bladder scanner (PUBS).

Authors

  • Hyun Ju Jeong
    Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Aeran Seol
    Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Seungjun Lee
    Department of Artificial Intelligence, Ajou University, Suwon 16499, Korea.
  • Hyunji Lim
    Department of Obstetrcis and Gynecology, Seoul National University Hospital, Seoul, Korea (the Republic of).
  • Maria Lee
    Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul 03080, Republic of Korea.
  • Seung-June Oh

Keywords

External Resources

Popular Topics
Recent Journals