Better Discrimination, Unchanged Practice: Are Machine Learning Models Ready to Replace Established Risk Scores in Cardiac Surgery? A Narrative Review.
- DOI
- 10.3390/life16081371
- Published
- 2026 Aug 20
- Container
- Life (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/life16081371,
title = {Better Discrimination, Unchanged Practice: Are Machine Learning Models Ready to Replace Established Risk Scores in Cardiac Surgery? A Narrative Review.},
author = {Magouliotis DE and Sicouri S and Androutsopoulou V and Zotos PA and Baudo M and Ramlawi B},
year = {2026},
journal = {Life (Basel, Switzerland)},
doi = {10.3390/life16081371},
url = {https://doi.org/10.3390/life16081371}
}RIS
TY - JOUR TI - Better Discrimination, Unchanged Practice: Are Machine Learning Models Ready to Replace Established Risk Scores in Cardiac Surgery? A Narrative Review. AU - Magouliotis DE AU - Sicouri S AU - Androutsopoulou V AU - Zotos PA AU - Baudo M AU - Ramlawi B PY - 2026 JO - Life (Basel, Switzerland) DO - 10.3390/life16081371 UR - https://doi.org/10.3390/life16081371 ER -
APA
DE, M., S, S., V, A., PA, Z., M, B., & B, R. (2026). Better Discrimination, Unchanged Practice: Are Machine Learning Models Ready to Replace Established Risk Scores in Cardiac Surgery? A Narrative Review.. Life (Basel, Switzerland). https://doi.org/10.3390/life16081371
Source records
- pubmed · retrieved 2026-09-26T07:35:10.910Z