Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence—statistical improvement versus clinical impact
- DOI
- 10.1007/s00330-026-12695-1
- Published
- 2026-06-19
- Container
- European Radiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00330-026-12695-1,
title = {Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence—statistical improvement versus clinical impact},
author = {Raquel Tendero and Andrés Larroza and Francisco Javier Pérez-Benito and Juan Carlos Perez-Cortes and Marta Román and Rafael Llobet},
year = {2026},
journal = {European Radiology},
doi = {10.1007/s00330-026-12695-1},
url = {https://doi.org/10.1007/s00330-026-12695-1}
}RIS
TY - JOUR TI - Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence—statistical improvement versus clinical impact AU - Raquel Tendero AU - Andrés Larroza AU - Francisco Javier Pérez-Benito AU - Juan Carlos Perez-Cortes AU - Marta Román AU - Rafael Llobet PY - 2026 JO - European Radiology DO - 10.1007/s00330-026-12695-1 UR - https://doi.org/10.1007/s00330-026-12695-1 ER -
APA
Tendero, R., Larroza, A., Pérez-Benito, F. J., Perez-Cortes, J. C., Román, M., & Llobet, R. (2026). Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence—statistical improvement versus clinical impact. European Radiology. https://doi.org/10.1007/s00330-026-12695-1
Source records
- crossref · retrieved 2026-09-26T18:49:01.977Z