Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran.
- DOI
- 10.1186/s12912-026-05025-9
- Published
- 2026 Jul 13
- Container
- BMC nursing
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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:10.1186/s12912-026-05025-9,
title = {Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran.},
author = {Sohrabi S and Bonakchi H and Kazemi R},
year = {2026},
journal = {BMC nursing},
doi = {10.1186/s12912-026-05025-9},
url = {https://doi.org/10.1186/s12912-026-05025-9}
}RIS
TY - JOUR TI - Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran. AU - Sohrabi S AU - Bonakchi H AU - Kazemi R PY - 2026 JO - BMC nursing DO - 10.1186/s12912-026-05025-9 UR - https://doi.org/10.1186/s12912-026-05025-9 ER -
APA
S, S., H, B., & R, K. (2026). Predicting nurses' behavioral intention to adopt artificial intelligence in a resource-limited setting: an extended technology acceptance model study in Iran.. BMC nursing. https://doi.org/10.1186/s12912-026-05025-9
Source records
- pubmed · retrieved 2026-09-25T21:02:38.092Z