Detecting CSF-validated Alzheimer's disease from spontaneous speech in German: an interpretable end-to-end machine-learning framework.

Wiechmann D, Kerz E, Albrecht M, Qiao Y, Pinho J, Reetz K, Costa AS

DOI: 10.3389/fneur.2026.1780783
Published: 2026
Container: Frontiers in neurology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fneur.2026.1780783,
  title = {Detecting CSF-validated Alzheimer's disease from spontaneous speech in German: an interpretable end-to-end machine-learning framework.},
  author = {Wiechmann D and Kerz E and Albrecht M and Qiao Y and Pinho J and Reetz K and Costa AS},
  year = {2026},
  journal = {Frontiers in neurology},
  doi = {10.3389/fneur.2026.1780783},
  url = {https://doi.org/10.3389/fneur.2026.1780783}
}

RIS

TY  - JOUR
TI  - Detecting CSF-validated Alzheimer's disease from spontaneous speech in German: an interpretable end-to-end machine-learning framework.
AU  - Wiechmann D
AU  - Kerz E
AU  - Albrecht M
AU  - Qiao Y
AU  - Pinho J
AU  - Reetz K
AU  - Costa AS
PY  - 2026
JO  - Frontiers in neurology
DO  - 10.3389/fneur.2026.1780783
UR  - https://doi.org/10.3389/fneur.2026.1780783
ER  -

APA

D, W., E, K., M, A., Y, Q., J, P., K, R., & AS, C. (2026). Detecting CSF-validated Alzheimer's disease from spontaneous speech in German: an interpretable end-to-end machine-learning framework.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1780783

Source records

pubmed · retrieved 2026-11-10T15:02:41.205Z