A remote monitoring system based on deep learning for real-time assessment of free flaps.
- DOI
- 10.1371/journal.pone.0347343
- Published
- 2026
- Container
- PloS one
- 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:10.1371/journal.pone.0347343,
title = {A remote monitoring system based on deep learning for real-time assessment of free flaps.},
author = {Huang X and Cheng C and Ren S and Fang R and Lu F and Wu C and Jiang Z},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0347343},
url = {https://doi.org/10.1371/journal.pone.0347343}
}RIS
TY - JOUR TI - A remote monitoring system based on deep learning for real-time assessment of free flaps. AU - Huang X AU - Cheng C AU - Ren S AU - Fang R AU - Lu F AU - Wu C AU - Jiang Z PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0347343 UR - https://doi.org/10.1371/journal.pone.0347343 ER -
APA
X, H., C, C., S, R., R, F., F, L., C, W., & Z, J. (2026). A remote monitoring system based on deep learning for real-time assessment of free flaps.. PloS one. https://doi.org/10.1371/journal.pone.0347343
Source records
- pubmed · retrieved 2026-09-25T08:34:52.340Z