Applying artificial intelligence to cardiac MRI to diagnose congenital heart disease in low-resource settings such as Sub-Saharan Africa.
- DOI
- 10.1038/s43856-025-01179-w
- Published
- 2025 Nov 18
- Container
- Communications medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s43856-025-01179-w,
title = {Applying artificial intelligence to cardiac MRI to diagnose congenital heart disease in low-resource settings such as Sub-Saharan Africa.},
author = {Negussie M and Sanchez N and Sidiq SA and Trvalik A and Baettig E and Ozkok S and Umair M},
year = {2025},
journal = {Communications medicine},
doi = {10.1038/s43856-025-01179-w},
url = {https://doi.org/10.1038/s43856-025-01179-w}
}RIS
TY - JOUR TI - Applying artificial intelligence to cardiac MRI to diagnose congenital heart disease in low-resource settings such as Sub-Saharan Africa. AU - Negussie M AU - Sanchez N AU - Sidiq SA AU - Trvalik A AU - Baettig E AU - Ozkok S AU - Umair M PY - 2025 JO - Communications medicine DO - 10.1038/s43856-025-01179-w UR - https://doi.org/10.1038/s43856-025-01179-w ER -
APA
M, N., N, S., SA, S., A, T., E, B., S, O., & M, U. (2025). Applying artificial intelligence to cardiac MRI to diagnose congenital heart disease in low-resource settings such as Sub-Saharan Africa.. Communications medicine. https://doi.org/10.1038/s43856-025-01179-w
Source records
- pubmed · retrieved 2026-09-26T22:14:24.895Z