Challenges of using generative artificial intelligence for diabetes patient education: a cross-platform analysis of the quality, readability, and actionability of text generated by large language models.
- DOI
- 10.3389/fpubh.2026.1804524
- Published
- 2026
- Container
- Frontiers in public health
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 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/fpubh.2026.1804524,
title = {Challenges of using generative artificial intelligence for diabetes patient education: a cross-platform analysis of the quality, readability, and actionability of text generated by large language models.},
author = {Wang Z and Li X and Tao X and Li J and Zhang L and He X and Yang J},
year = {2026},
journal = {Frontiers in public health},
doi = {10.3389/fpubh.2026.1804524},
url = {https://doi.org/10.3389/fpubh.2026.1804524}
}RIS
TY - JOUR TI - Challenges of using generative artificial intelligence for diabetes patient education: a cross-platform analysis of the quality, readability, and actionability of text generated by large language models. AU - Wang Z AU - Li X AU - Tao X AU - Li J AU - Zhang L AU - He X AU - Yang J PY - 2026 JO - Frontiers in public health DO - 10.3389/fpubh.2026.1804524 UR - https://doi.org/10.3389/fpubh.2026.1804524 ER -
APA
Z, W., X, L., X, T., J, L., L, Z., X, H., & J, Y. (2026). Challenges of using generative artificial intelligence for diabetes patient education: a cross-platform analysis of the quality, readability, and actionability of text generated by large language models.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1804524
Source records
- pubmed · retrieved 2026-09-25T22:16:31.965Z