aceA multi-task learning-based deep learning model for precise estimation of rib fracture age on chest CT
Rib fractures are a common type of chest injury, and the estimation of the fracture age mainly relies on clinical or forensic imaging experts making rough judgments based on CT scans, which is highly subjective. In recent years, artificial intelligence (AI) models have performed exceptionally well in rib fracture detection tasks, providing a potential technical foundation for inferring the time of fracture formation. Therefore, it is necessary to develop deep learning model tools to assist human judgment. In thi…
A 3D-ResNet18 multi-task model reduced error in estimating rib fracture age from chest CT to 7.94 days MAE, outperforming manual expert evaluation at 10.65 days, while also classifying healing stage and fracture type.
Evidence
- Peer-reviewedInternational Journal of Legal Medicine2026-09-14
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Truvace Impact Record TRV-2026-1094, v1: “A multi-task learning-based deep learning model for precise estimation of rib fracture age on chest CT.” Truvace, 2026-09-15. /record/TRV-2026-1094 (accessed at citation time). sha256 94c6ab230f911a04…
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