Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework.

Ben Ammar B, Karamti W

DOI: 10.3389/fpubh.2026.1881829
Published: 2026
Container: Frontiers in public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2026.1881829,
  title = {Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework.},
  author = {Ben Ammar B and Karamti W},
  year = {2026},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2026.1881829},
  url = {https://doi.org/10.3389/fpubh.2026.1881829}
}

RIS

TY  - JOUR
TI  - Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework.
AU  - Ben Ammar B
AU  - Karamti W
PY  - 2026
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1881829
UR  - https://doi.org/10.3389/fpubh.2026.1881829
ER  -

APA

B, B. A., & W, K. (2026). Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1881829

Source records

pubmed · retrieved 2026-09-25T16:45:16.822Z