Artificial intelligence in perioperative pressure injury management: a scoping review of evidence, gaps, and implications for population health and digital public health policy.
- DOI
- 10.3389/fpubh.2026.1952864
- Published
- 2026
- Container
- Frontiers in public health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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.2026.1952864,
title = {Artificial intelligence in perioperative pressure injury management: a scoping review of evidence, gaps, and implications for population health and digital public health policy.},
author = {Zeng Q and Li J and Hu J and Yang C},
year = {2026},
journal = {Frontiers in public health},
doi = {10.3389/fpubh.2026.1952864},
url = {https://doi.org/10.3389/fpubh.2026.1952864}
}RIS
TY - JOUR TI - Artificial intelligence in perioperative pressure injury management: a scoping review of evidence, gaps, and implications for population health and digital public health policy. AU - Zeng Q AU - Li J AU - Hu J AU - Yang C PY - 2026 JO - Frontiers in public health DO - 10.3389/fpubh.2026.1952864 UR - https://doi.org/10.3389/fpubh.2026.1952864 ER -
APA
Q, Z., J, L., J, H., & C, Y. (2026). Artificial intelligence in perioperative pressure injury management: a scoping review of evidence, gaps, and implications for population health and digital public health policy.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1952864
Source records
- pubmed · retrieved 2026-11-10T10:42:25.648Z
- europe-pmc · retrieved 2026-11-10T10:42:25.642Z
- doaj · retrieved 2026-11-10T10:42:25.636Z