Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.

Yan S, Zhang P, Qiao W, Xie S, Hu H, Gao Y, Xie L, Jing J

DOI: 10.2196/80930
Published: 2026 Jun 10
Container: JMIR medical informatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/80930,
  title = {Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.},
  author = {Yan S and Zhang P and Qiao W and Xie S and Hu H and Gao Y and Xie L and Jing J},
  year = {2026},
  journal = {JMIR medical informatics},
  doi = {10.2196/80930},
  url = {https://doi.org/10.2196/80930}
}

RIS

TY  - JOUR
TI  - Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.
AU  - Yan S
AU  - Zhang P
AU  - Qiao W
AU  - Xie S
AU  - Hu H
AU  - Gao Y
AU  - Xie L
AU  - Jing J
PY  - 2026
JO  - JMIR medical informatics
DO  - 10.2196/80930
UR  - https://doi.org/10.2196/80930
ER  -

APA

S, Y., P, Z., W, Q., S, X., H, H., Y, G., L, X., & J, J. (2026). Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.. JMIR medical informatics. https://doi.org/10.2196/80930

Source records

pubmed · retrieved 2026-09-24T23:41:36.009Z