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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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Detalhes bibliográficos
Publicado no:J Med Artif Intell
Main Authors: Alskaf, Ebraham, Crawley, Richard, Scannell, Cian M., Suinesiaputra, Avan, Young, Alistair, Masci, Pier-Giorgio, Perera, Divaka, Chiribiri, Amedeo
Formato: Artigo
Idioma:Inglês
Publicado em: 2024
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Acesso em linha: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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