Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study.
- DOI
- 10.1186/s13019-026-04233-3
- Published
- 2026 Apr 24
- Container
- Journal of cardiothoracic surgery
- 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:10.1186/s13019-026-04233-3,
title = {Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study.},
author = {Tang Q and Richard SA and Peng S and Qian H and Li J and Wang H},
year = {2026},
journal = {Journal of cardiothoracic surgery},
doi = {10.1186/s13019-026-04233-3},
url = {https://doi.org/10.1186/s13019-026-04233-3}
}RIS
TY - JOUR TI - Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study. AU - Tang Q AU - Richard SA AU - Peng S AU - Qian H AU - Li J AU - Wang H PY - 2026 JO - Journal of cardiothoracic surgery DO - 10.1186/s13019-026-04233-3 UR - https://doi.org/10.1186/s13019-026-04233-3 ER -
APA
Q, T., SA, R., S, P., H, Q., J, L., & H, W. (2026). Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study.. Journal of cardiothoracic surgery. https://doi.org/10.1186/s13019-026-04233-3
Source records
- pubmed · retrieved 2026-09-26T04:25:17.261Z