Machine learning models in post-stroke aphasia: a scoping review.

Li X, Song H, Guo N, Kang C, Gong X, Ji X, Zheng J

Open source

DOI: 10.3389/fneur.2026.1806856
Published: 2026
Container: Frontiers in neurology
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3389/fneur.2026.1806856,
  title = {Machine learning models in post-stroke aphasia: a scoping review.},
  author = {Li X and Song H and Guo N and Kang C and Gong X and Ji X and Zheng J},
  year = {2026},
  journal = {Frontiers in neurology},
  doi = {10.3389/fneur.2026.1806856},
  url = {https://doi.org/10.3389/fneur.2026.1806856}
}

RIS

TY  - JOUR
TI  - Machine learning models in post-stroke aphasia: a scoping review.
AU  - Li X
AU  - Song H
AU  - Guo N
AU  - Kang C
AU  - Gong X
AU  - Ji X
AU  - Zheng J
PY  - 2026
JO  - Frontiers in neurology
DO  - 10.3389/fneur.2026.1806856
UR  - https://doi.org/10.3389/fneur.2026.1806856
ER  -

APA

X, L., H, S., N, G., C, K., X, G., X, J., & J, Z. (2026). Machine learning models in post-stroke aphasia: a scoping review.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1806856

Source records

pubmed · retrieved 2026-09-27T10:48:02.308Z
europe-pmc · retrieved 2026-09-27T10:48:02.308Z
doaj · retrieved 2026-09-27T10:48:02.312Z