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Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
Cardiovascular disease (CVD), the leading cause of death globally, is associated with complicated underlying risk factors. We develop an artificial intelligence model to identify CVD using multimodal data, including clinical risk factors and fundus photographs from the Samsung Medical Center (SMC) f...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894867/ https://www.ncbi.nlm.nih.gov/pubmed/36732671 http://dx.doi.org/10.1038/s41746-023-00748-4 |