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

Shu-Tien Huang, Liong-Rung Liu, Ming-Feng Tsai, Ming-Yuan Huang, Hung-Wen Chiu

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DOI: 10.2196/77965
Published: 2026-01-29
Container: JMIR Medical Informatics
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/77965,
  title = {Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study},
  author = {Shu-Tien Huang and Liong-Rung Liu and Ming-Feng Tsai and Ming-Yuan Huang and Hung-Wen Chiu},
  year = {2026},
  journal = {JMIR Medical Informatics},
  doi = {10.2196/77965},
  url = {https://doi.org/10.2196/77965}
}

RIS

TY  - JOUR
TI  - Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study
AU  - Shu-Tien Huang
AU  - Liong-Rung Liu
AU  - Ming-Feng Tsai
AU  - Ming-Yuan Huang
AU  - Hung-Wen Chiu
PY  - 2026
JO  - JMIR Medical Informatics
DO  - 10.2196/77965
UR  - https://doi.org/10.2196/77965
ER  -

APA

Huang, S., Liu, L., Tsai, M., Huang, M., & Chiu, H. (2026). Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study. JMIR Medical Informatics. https://doi.org/10.2196/77965

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crossref · retrieved 2026-09-25T05:32:58.592Z