From static guidelines to dynamic personalization: a novel AI-driven evidence-based paradigm for low-concentration atropine prescribing in myopia control.
- DOI
- 10.3389/fmed.2026.1912484
- Published
- 2026
- Container
- Frontiers in medicine
- 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:10.3389/fmed.2026.1912484,
title = {From static guidelines to dynamic personalization: a novel AI-driven evidence-based paradigm for low-concentration atropine prescribing in myopia control.},
author = {Liu Y and Zhou Q and Ma L and Chen Y and Sun L and Hu J and Kan H},
year = {2026},
journal = {Frontiers in medicine},
doi = {10.3389/fmed.2026.1912484},
url = {https://doi.org/10.3389/fmed.2026.1912484}
}RIS
TY - JOUR TI - From static guidelines to dynamic personalization: a novel AI-driven evidence-based paradigm for low-concentration atropine prescribing in myopia control. AU - Liu Y AU - Zhou Q AU - Ma L AU - Chen Y AU - Sun L AU - Hu J AU - Kan H PY - 2026 JO - Frontiers in medicine DO - 10.3389/fmed.2026.1912484 UR - https://doi.org/10.3389/fmed.2026.1912484 ER -
APA
Y, L., Q, Z., L, M., Y, C., L, S., J, H., & H, K. (2026). From static guidelines to dynamic personalization: a novel AI-driven evidence-based paradigm for low-concentration atropine prescribing in myopia control.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1912484
Source records
- pubmed · retrieved 2026-09-25T06:33:00.902Z