Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.

Janisch M, Scherkl M, Stranger N, Elsayed H, Singer G, Till H, Zellner M, Hržić F, Tschauner S

DOI: 10.1038/s41598-025-28197-x
Published: 2025 Dec 12
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-28197-x,
  title = {Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.},
  author = {Janisch M and Scherkl M and Stranger N and Elsayed H and Singer G and Till H and Zellner M and Hržić F and Tschauner S},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-28197-x},
  url = {https://doi.org/10.1038/s41598-025-28197-x}
}

RIS

TY  - JOUR
TI  - Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.
AU  - Janisch M
AU  - Scherkl M
AU  - Stranger N
AU  - Elsayed H
AU  - Singer G
AU  - Till H
AU  - Zellner M
AU  - Hržić F
AU  - Tschauner S
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-28197-x
UR  - https://doi.org/10.1038/s41598-025-28197-x
ER  -

APA

M, J., M, S., N, S., H, E., G, S., H, T., M, Z., F, H., & S, T. (2025). Predicting biological sex in pediatric skeleton X-rays using artificial intelligence.. Scientific reports. https://doi.org/10.1038/s41598-025-28197-x

Source records

pubmed · retrieved 2026-09-26T04:27:08.634Z