An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy

Doğan Porsnok, Sefa Unes

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DOI: 10.1007/s00381-026-07444-0
Published: 2026-09-04
Container: Child's Nervous System
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00381-026-07444-0,
  title = {An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy},
  author = {Doğan Porsnok and Sefa Unes},
  year = {2026},
  journal = {Child's Nervous System},
  doi = {10.1007/s00381-026-07444-0},
  url = {https://doi.org/10.1007/s00381-026-07444-0}
}

RIS

TY  - JOUR
TI  - An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy
AU  - Doğan Porsnok
AU  - Sefa Unes
PY  - 2026
JO  - Child's Nervous System
DO  - 10.1007/s00381-026-07444-0
UR  - https://doi.org/10.1007/s00381-026-07444-0
ER  -

APA

Porsnok, D., & Unes, S. (2026). An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy. Child's Nervous System. https://doi.org/10.1007/s00381-026-07444-0

Source records

crossref · retrieved 2026-09-26T07:52:40.828Z