Reverse-engineering the diagnostic process: An indirect finding-driven deep learning model for pelvic active bleeding detection on CT that achieves specialist-level performance and surpasses residents - a multicenter study.
- DOI
- 10.1016/j.injury.2026.113713
- Published
- 2026 Sep 9
- Container
- Injury
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.injury.2026.113713,
title = {Reverse-engineering the diagnostic process: An indirect finding-driven deep learning model for pelvic active bleeding detection on CT that achieves specialist-level performance and surpasses residents - a multicenter study.},
author = {Okada N and Inoue S and Hirano Y and Liu C and Mitarai S and Honda S and Sato K and Hiraki S and Ichinose Y and Takita H and Ueda D and Matsuzawa Y and Yamamoto G and Fujimi S and Kuroda T},
year = {2026},
journal = {Injury},
doi = {10.1016/j.injury.2026.113713},
url = {https://doi.org/10.1016/j.injury.2026.113713}
}RIS
TY - JOUR TI - Reverse-engineering the diagnostic process: An indirect finding-driven deep learning model for pelvic active bleeding detection on CT that achieves specialist-level performance and surpasses residents - a multicenter study. AU - Okada N AU - Inoue S AU - Hirano Y AU - Liu C AU - Mitarai S AU - Honda S AU - Sato K AU - Hiraki S AU - Ichinose Y AU - Takita H AU - Ueda D AU - Matsuzawa Y AU - Yamamoto G AU - Fujimi S AU - Kuroda T PY - 2026 JO - Injury DO - 10.1016/j.injury.2026.113713 UR - https://doi.org/10.1016/j.injury.2026.113713 ER -
APA
N, O., S, I., Y, H., C, L., S, M., S, H., K, S., S, H., Y, I., H, T., D, U., Y, M., G, Y., S, F., & T, K. (2026). Reverse-engineering the diagnostic process: An indirect finding-driven deep learning model for pelvic active bleeding detection on CT that achieves specialist-level performance and surpasses residents - a multicenter study.. Injury. https://doi.org/10.1016/j.injury.2026.113713
Source records
- pubmed · retrieved 2026-09-26T04:27:53.116Z
- europe-pmc · retrieved 2026-09-26T04:27:53.133Z