Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation
- DOI
- 10.1038/s41598-025-86536-4
- Published
- 2025-01-15
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-86536-4,
title = {Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation},
author = {Zahra Bashir and Manxi Lin and Aasa Feragen and Kamil Mikolaj and Caroline Taksøe-Vester and Anders Nymark Christensen and Morten B. S. Svendsen and Mette Hvilshøj Fabricius and Lisbeth Andreasen and Mads Nielsen and Martin Grønnebæk Tolsgaard},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-86536-4},
url = {https://doi.org/10.1038/s41598-025-86536-4}
}RIS
TY - JOUR TI - Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation AU - Zahra Bashir AU - Manxi Lin AU - Aasa Feragen AU - Kamil Mikolaj AU - Caroline Taksøe-Vester AU - Anders Nymark Christensen AU - Morten B. S. Svendsen AU - Mette Hvilshøj Fabricius AU - Lisbeth Andreasen AU - Mads Nielsen AU - Martin Grønnebæk Tolsgaard PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-86536-4 UR - https://doi.org/10.1038/s41598-025-86536-4 ER -
APA
Bashir, Z., Lin, M., Feragen, A., Mikolaj, K., Taksøe-Vester, C., Christensen, A. N., Svendsen, M. B. S., Fabricius, M. H., Andreasen, L., Nielsen, M., & Tolsgaard, M. G. (2025). Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation. Scientific Reports. https://doi.org/10.1038/s41598-025-86536-4
Source records
- crossref · retrieved 2026-11-10T12:21:54.500Z