Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare

Nour Ghadban, Jonathan Cooper, Julien Le Kernec

Open source

DOI: 10.1007/s40747-026-02296-2
Published: 2026-04-25
Container: Complex & Intelligent Systems
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s40747-026-02296-2,
  title = {Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare},
  author = {Nour Ghadban and Jonathan Cooper and Julien Le Kernec},
  year = {2026},
  journal = {Complex \&amp; Intelligent Systems},
  doi = {10.1007/s40747-026-02296-2},
  url = {https://doi.org/10.1007/s40747-026-02296-2}
}

RIS

TY  - JOUR
TI  - Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare
AU  - Nour Ghadban
AU  - Jonathan Cooper
AU  - Julien Le Kernec
PY  - 2026
JO  - Complex &amp; Intelligent Systems
DO  - 10.1007/s40747-026-02296-2
UR  - https://doi.org/10.1007/s40747-026-02296-2
ER  -

APA

Ghadban, N., Cooper, J., & Kernec, J. L. (2026). Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-026-02296-2

Source records

crossref · retrieved 2026-11-10T10:16:50.349Z