Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.
- DOI
- 10.1007/s00464-026-13268-5
- Published
- 2026 Aug 10
- Container
- Surgical endoscopy
- Publisher
- Not recorded
- Open access
- no
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1007/s00464-026-13268-5,
title = {Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.},
author = {Xu X and Zhao H and Wang G and Xia K and Ding Y and Chen J},
year = {2026},
journal = {Surgical endoscopy},
doi = {10.1007/s00464-026-13268-5},
url = {https://doi.org/10.1007/s00464-026-13268-5}
}RIS
TY - JOUR TI - Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones. AU - Xu X AU - Zhao H AU - Wang G AU - Xia K AU - Ding Y AU - Chen J PY - 2026 JO - Surgical endoscopy DO - 10.1007/s00464-026-13268-5 UR - https://doi.org/10.1007/s00464-026-13268-5 ER -
APA
X, X., H, Z., G, W., K, X., Y, D., & J, C. (2026). Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.. Surgical endoscopy. https://doi.org/10.1007/s00464-026-13268-5
Source records
- pubmed · retrieved 2026-09-26T22:58:31.174Z
- europe-pmc · retrieved 2026-09-26T22:58:31.197Z