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Hybrid artificial intelligence outcome prediction using features extraction from stress perfusion cardiac magnetic resonance images and electronic health records
BACKGROUND: Prediction of clinical outcomes in coronary artery disease (CAD) has been conventionally achieved using clinical risk factors. The relationship between imaging features and outcome is still not well understood. This study aims to use artificial intelligence to link image features with mo...
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| Publicat a: | J Med Artif Intell |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2024
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7615812/ https://ncbi.nlm.nih.gov/pubmed/38584766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jmai-24-1 |
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