Machine learning in vascular surgery: a systematic review and critical appraisal.
- DOI
- 10.1038/s41746-021-00552-y
- Published
- 2022 Jan 19
- Container
- NPJ digital 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:10.1038/s41746-021-00552-y,
title = {Machine learning in vascular surgery: a systematic review and critical appraisal.},
author = {Li B and Feridooni T and Cuen-Ojeda C and Kishibe T and de Mestral C and Mamdani M and Al-Omran M},
year = {2022},
journal = {NPJ digital medicine},
doi = {10.1038/s41746-021-00552-y},
url = {https://doi.org/10.1038/s41746-021-00552-y}
}RIS
TY - JOUR TI - Machine learning in vascular surgery: a systematic review and critical appraisal. AU - Li B AU - Feridooni T AU - Cuen-Ojeda C AU - Kishibe T AU - de Mestral C AU - Mamdani M AU - Al-Omran M PY - 2022 JO - NPJ digital medicine DO - 10.1038/s41746-021-00552-y UR - https://doi.org/10.1038/s41746-021-00552-y ER -
APA
B, L., T, F., C, C., T, K., C, D. M., M, M., & M, A. (2022). Machine learning in vascular surgery: a systematic review and critical appraisal.. NPJ digital medicine. https://doi.org/10.1038/s41746-021-00552-y
Source records
- pubmed · retrieved 2026-09-25T19:30:16.660Z