Geographic prompting and content fidelity in generative Artificial Intelligence: A multi-model study of demographics and imaging equipment in AI-generated videos and images of Canadian medical radiation technologists.
- DOI
- 10.1016/j.jmir.2025.102122
- Published
- 2025 Dec
- Container
- Journal of medical imaging and radiation sciences
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmir.2025.102122,
title = {Geographic prompting and content fidelity in generative Artificial Intelligence: A multi-model study of demographics and imaging equipment in AI-generated videos and images of Canadian medical radiation technologists.},
author = {Al-Naser Y and Sharma S and Niure K and Ibach K and Khosa F and Yong-Hing CJ},
year = {2025},
journal = {Journal of medical imaging and radiation sciences},
doi = {10.1016/j.jmir.2025.102122},
url = {https://doi.org/10.1016/j.jmir.2025.102122}
}RIS
TY - JOUR TI - Geographic prompting and content fidelity in generative Artificial Intelligence: A multi-model study of demographics and imaging equipment in AI-generated videos and images of Canadian medical radiation technologists. AU - Al-Naser Y AU - Sharma S AU - Niure K AU - Ibach K AU - Khosa F AU - Yong-Hing CJ PY - 2025 JO - Journal of medical imaging and radiation sciences DO - 10.1016/j.jmir.2025.102122 UR - https://doi.org/10.1016/j.jmir.2025.102122 ER -
APA
Y, A., S, S., K, N., K, I., F, K., & CJ, Y. (2025). Geographic prompting and content fidelity in generative Artificial Intelligence: A multi-model study of demographics and imaging equipment in AI-generated videos and images of Canadian medical radiation technologists.. Journal of medical imaging and radiation sciences. https://doi.org/10.1016/j.jmir.2025.102122
Source records
- pubmed · retrieved 2026-09-26T12:29:11.212Z