Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department.

Herpe G, Nelken H, Vendeuvre T, Guenezan J, Giraud C, Mimoz O, Feydy A, Tasu JP, Guillevin R

DOI: 10.3390/jcm13185575
Published: 2024 Sep 20
Container: Journal of clinical medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/jcm13185575,
  title = {Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department.},
  author = {Herpe G and Nelken H and Vendeuvre T and Guenezan J and Giraud C and Mimoz O and Feydy A and Tasu JP and Guillevin R},
  year = {2024},
  journal = {Journal of clinical medicine},
  doi = {10.3390/jcm13185575},
  url = {https://doi.org/10.3390/jcm13185575}
}

RIS

TY  - JOUR
TI  - Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department.
AU  - Herpe G
AU  - Nelken H
AU  - Vendeuvre T
AU  - Guenezan J
AU  - Giraud C
AU  - Mimoz O
AU  - Feydy A
AU  - Tasu JP
AU  - Guillevin R
PY  - 2024
JO  - Journal of clinical medicine
DO  - 10.3390/jcm13185575
UR  - https://doi.org/10.3390/jcm13185575
ER  -

APA

G, H., H, N., T, V., J, G., C, G., O, M., A, F., JP, T., & R, G. (2024). Effectiveness of an Artificial Intelligence Software for Limb Radiographic Fracture Recognition in an Emergency Department.. Journal of clinical medicine. https://doi.org/10.3390/jcm13185575

Source records

pubmed · retrieved 2026-09-26T21:42:56.963Z