The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis.
- DOI
- 10.3389/fpubh.2025.1724546
- Published
- 2025
- Container
- Frontiers in public health
- Publisher
- Not recorded
- Open access
- yes
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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:10.3389/fpubh.2025.1724546,
title = {The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis.},
author = {Wang JW and Xun JJ and Zhao FF},
year = {2025},
journal = {Frontiers in public health},
doi = {10.3389/fpubh.2025.1724546},
url = {https://doi.org/10.3389/fpubh.2025.1724546}
}RIS
TY - JOUR TI - The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis. AU - Wang JW AU - Xun JJ AU - Zhao FF PY - 2025 JO - Frontiers in public health DO - 10.3389/fpubh.2025.1724546 UR - https://doi.org/10.3389/fpubh.2025.1724546 ER -
APA
JW, W., JJ, X., & FF, Z. (2025). The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis.. Frontiers in public health. https://doi.org/10.3389/fpubh.2025.1724546
Source records
- pubmed · retrieved 2026-09-26T17:57:43.635Z