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.
Tee et al. (2026) studied this question.