Correspondence on: "Methodological quality and performance of artificial intelligence and machine learning models for preoperative risk prediction in plastic surgery: A systematic review".
- DOI
- 10.1016/j.bjps.2026.10.047
- Published
- 2026 Oct 30
- Container
- Journal of plastic, reconstructive & aesthetic surgery : JPRAS
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bjps.2026.10.047,
title = {Correspondence on: "Methodological quality and performance of artificial intelligence and machine learning models for preoperative risk prediction in plastic surgery: A systematic review".},
author = {Catic A and Karamitros G and Kuo NI and Barbieri S and Jorm L},
year = {2026},
journal = {Journal of plastic, reconstructive \& aesthetic surgery : JPRAS},
doi = {10.1016/j.bjps.2026.10.047},
url = {https://doi.org/10.1016/j.bjps.2026.10.047}
}RIS
TY - JOUR TI - Correspondence on: "Methodological quality and performance of artificial intelligence and machine learning models for preoperative risk prediction in plastic surgery: A systematic review". AU - Catic A AU - Karamitros G AU - Kuo NI AU - Barbieri S AU - Jorm L PY - 2026 JO - Journal of plastic, reconstructive & aesthetic surgery : JPRAS DO - 10.1016/j.bjps.2026.10.047 UR - https://doi.org/10.1016/j.bjps.2026.10.047 ER -
APA
A, C., G, K., NI, K., S, B., & L, J. (2026). Correspondence on: "Methodological quality and performance of artificial intelligence and machine learning models for preoperative risk prediction in plastic surgery: A systematic review".. Journal of plastic, reconstructive & aesthetic surgery : JPRAS. https://doi.org/10.1016/j.bjps.2026.10.047
Source records
- pubmed · retrieved 2026-11-10T18:01:32.490Z