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

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (47) Machine Learning (2252) Prostate Cancer (53) Usability and Technology Use Studies with Elder Subjects (295) Shared Decision Making and Self-Advocacy (68)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83238, first published .
Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial

Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial

Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial

Authors of this article:

Yi-Ting Lin1, 2 Author Orcid Image ;   Yen Chun Huang3 Author Orcid Image ;   Chih Kuang Liu4 Author Orcid Image ;   Hsiao-Yun Cho4, 5 Author Orcid Image ;   Mingchih Chen4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yi-Ting Lin   1, 2 * , MD, PhD ;   Yen Chun Huang   3 * , PhD ;   Chih Kuang Liu   4 , MD, PhD ;   Hsiao-Yun Cho   4, 5 , MD ;   Mingchih Chen   4 , PhD

1 Department of Urology, St. Joseph's Hospital, Yunlin, Taiwan

2 College of Nursing, Meiho University, Pingtung, Taiwan

3 Department of Artificial Intelligence, Tamkang University, New Taipei City, Taiwan

4 Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan

5 Department of Otorhinolaryngology—Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan

*these authors contributed equally

Corresponding Author:

  • Mingchih Chen, PhD
  • Graduate Institute of Business Administration, College of Management
  • Fu Jen Catholic University
  • No.510, Zhongzheng Rd., Xinzhuang Dist., New Taipei City
  • New Taipei City 242062
  • Taiwan
  • Phone: 886 02-2905-3109
  • Email: 081438@mail.fju.edu.tw