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This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (2149) Decision Support for Health Professionals (1693) Machine Learning (2308) Urology (49) Computer-Aided Diagnosis (287)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58599, first published .
Doctor in white coat reviewing patient chart on computer

Building Dual AI Models and Nomograms Using Noninvasive Parameters for Aiding Male Bladder Outlet Obstruction Diagnosis and Minimizing the Need for Invasive Video-Urodynamic Studies: Development and Validation Study

Building Dual AI Models and Nomograms Using Noninvasive Parameters for Aiding Male Bladder Outlet Obstruction Diagnosis and Minimizing the Need for Invasive Video-Urodynamic Studies: Development and Validation Study

Authors of this article:

Chung-You Tsai1, 2 Author Orcid Image ;   Jing-Hui Tian3 Author Orcid Image ;   Chien-Cheng Lee2 Author Orcid Image ;   Hann-Chorng Kuo4 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Chung-You Tsai   1, 2 , PhD ;   Jing-Hui Tian   3 , MS ;   Chien-Cheng Lee   2 , PhD ;   Hann-Chorng Kuo   4 , MD

1 Divisions of Urology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei, Taiwan

2 Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan

3 Department of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan

4 Department of Urology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien, Taiwan

Corresponding Author:

  • Hann-Chorng Kuo, MD
  • Department of Urology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University
  • 707, Section 3, Chung-Yang Road
  • Hualien 970
  • Taiwan
  • Phone: 886 3-856-1825
  • Fax: 886 3-856-0794
  • Email: hck@tzuchi.com.tw