Artificial intelligence–assisted training for rib fracture interpretation: a prospective study in undergraduate medical students
AI-assisted training significantly enhances early diagnostic performance and confidence in rib fracture detection on chest radiographs, a key competency in trauma and emergency care, with partial skill retention after AI withdrawal. Integrating AI into early trauma imaging training may strengthen radiology training but requires strategies to mitigate automation bias and foster independent judgment.
Authors
- Chia‐Cheng Wang (ORCID: https://orcid.org/0000-0003-0386-5942)
- Chien-An Liao (ORCID: https://orcid.org/0000-0003-0858-7208)
- Chih-Po Hsu
- Chih-Yuan Fu (ORCID: https://orcid.org/0000-0003-0467-7169)
- Ling-Wei Kuo
- Yu-San Tee
- Chien-Hung Liao
- Chi-Tung Cheng
Institutions
- National Taiwan University (TW)
- Chang Gung University (TW)
- Chang Gung Memorial Hospital (TW)
- Linkou Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- World Journal of Emergency Surgery
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1186/s13017-026-00678-y
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00