Assessing the accuracy and readability of large language models in answering Turkish-language patient-generated queries on radiological contrast agents

Abdullah Enes Ataş

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DOI: 10.1177/20552076261491151
Published: 2026-02
Container: DIGITAL HEALTH
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/20552076261491151,
  title = {Assessing the accuracy and readability of large language models in answering Turkish-language patient-generated queries on radiological contrast agents},
  author = {Abdullah Enes Ataş},
  year = {2026},
  journal = {DIGITAL HEALTH},
  doi = {10.1177/20552076261491151},
  url = {https://doi.org/10.1177/20552076261491151}
}

RIS

TY  - JOUR
TI  - Assessing the accuracy and readability of large language models in answering Turkish-language patient-generated queries on radiological contrast agents
AU  - Abdullah Enes Ataş
PY  - 2026
JO  - DIGITAL HEALTH
DO  - 10.1177/20552076261491151
UR  - https://doi.org/10.1177/20552076261491151
ER  -

APA

Ataş, A. E. (2026). Assessing the accuracy and readability of large language models in answering Turkish-language patient-generated queries on radiological contrast agents. DIGITAL HEALTH. https://doi.org/10.1177/20552076261491151

Source records

crossref · retrieved 2026-09-25T10:57:43.857Z