Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals.
- DOI
- 10.1038/s42256-026-01180-5
- Published
- 2026
- Container
- Nature machine intelligence
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s42256-026-01180-5,
title = {Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals.},
author = {Gu X and Tang W and Han J and Sangha V and Liu F and Gowda SN and Ribeiro AH and Schwab P and Branson K and Clifton L and Ribeiro ALP and Liu Z and Clifton DA},
year = {2026},
journal = {Nature machine intelligence},
doi = {10.1038/s42256-026-01180-5},
url = {https://doi.org/10.1038/s42256-026-01180-5}
}RIS
TY - JOUR TI - Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals. AU - Gu X AU - Tang W AU - Han J AU - Sangha V AU - Liu F AU - Gowda SN AU - Ribeiro AH AU - Schwab P AU - Branson K AU - Clifton L AU - Ribeiro ALP AU - Liu Z AU - Clifton DA PY - 2026 JO - Nature machine intelligence DO - 10.1038/s42256-026-01180-5 UR - https://doi.org/10.1038/s42256-026-01180-5 ER -
APA
X, G., W, T., J, H., V, S., F, L., SN, G., AH, R., P, S., K, B., L, C., ALP, R., Z, L., & DA, C. (2026). Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals.. Nature machine intelligence. https://doi.org/10.1038/s42256-026-01180-5
Source records
- pubmed · retrieved 2026-09-26T03:54:30.527Z