Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists
- DOI
- 10.2196/90572
- Published
- 2026-05-05
- Container
- JMIR Bioinformatics and Biotechnology
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/90572,
title = {Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists},
author = {Tyler Williams and Ines Bilic-Curcic and Jonathan Hurley and Harisankeerth Mummareddy and Maja Cigrovski Berkovic and Silvija Canecki Varzic and Marina Gradiser},
year = {2026},
journal = {JMIR Bioinformatics and Biotechnology},
doi = {10.2196/90572},
url = {https://doi.org/10.2196/90572}
}RIS
TY - JOUR TI - Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists AU - Tyler Williams AU - Ines Bilic-Curcic AU - Jonathan Hurley AU - Harisankeerth Mummareddy AU - Maja Cigrovski Berkovic AU - Silvija Canecki Varzic AU - Marina Gradiser PY - 2026 JO - JMIR Bioinformatics and Biotechnology DO - 10.2196/90572 UR - https://doi.org/10.2196/90572 ER -
APA
Williams, T., Bilic-Curcic, I., Hurley, J., Mummareddy, H., Berkovic, M. C., Varzic, S. C., & Gradiser, M. (2026). Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists. JMIR Bioinformatics and Biotechnology. https://doi.org/10.2196/90572
Source records
- crossref · retrieved 2026-09-25T12:19:32.621Z