Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation.
- DOI
- 10.1186/s12913-026-14950-z
- Published
- 2026 Jun 18
- Container
- BMC health services research
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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:10.1186/s12913-026-14950-z,
title = {Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation.},
author = {Steel EJ and Duncan SF and Hall M and Maclay JD and Stobo DB and Gregory B and Lowe DJ and Germeni E},
year = {2026},
journal = {BMC health services research},
doi = {10.1186/s12913-026-14950-z},
url = {https://doi.org/10.1186/s12913-026-14950-z}
}RIS
TY - JOUR TI - Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation. AU - Steel EJ AU - Duncan SF AU - Hall M AU - Maclay JD AU - Stobo DB AU - Gregory B AU - Lowe DJ AU - Germeni E PY - 2026 JO - BMC health services research DO - 10.1186/s12913-026-14950-z UR - https://doi.org/10.1186/s12913-026-14950-z ER -
APA
EJ, S., SF, D., M, H., JD, M., DB, S., B, G., DJ, L., & E, G. (2026). Patient and staff acceptability of an artificial intelligence software to prioritize chest X-rays in an NHS setting: a qualitative evaluation.. BMC health services research. https://doi.org/10.1186/s12913-026-14950-z
Source records
- pubmed · retrieved 2026-09-25T22:55:13.713Z