Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77965, first published .
Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study

Shu-Tien Huang   1, 2, 3 , MSc, MD ;   Liong-Rung Liu   1, 2, 3 , MSc, MD ;   Ming-Feng Tsai   2, 3, 4 , MD ;   Ming-Yuan Huang   1, 3 * , MSc, MD ;   Hung-Wen Chiu   2, 5 * , PhD

1 Department of Emergency Medicine, Mackay Memorial Hospital, Taipei, Taiwan

2 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, Taiwan

3 College of Medicine, Mackay Medical University, New Taipei City, Taiwan

4 Division of Plastic Surgery, Mackay Memorial Hospital, Taipei, Taiwan

5 Clinical Big Data Research, Taipei Medical University Hospital, Taipei City, Taiwan

*these authors contributed equally

Corresponding Author:

  • Hung-Wen Chiu, PhD
  • Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University
  • 9F, Education & Research Building, Shuang-Ho Campus, No. 301, Yuantong Rd., Zhonghe Dist.
  • New Taipei City 235603
  • Taiwan
  • Phone: 886 266202589 ext 10929
  • Email: hwchiu@tmu.edu.tw