A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study

INTRODUCTION: Coronary artery disease (CAD) is the leading cause of death worldwide. More than a quarter of cardiovascular events are unexplained by current absolute cardiovascular disease risk calculators, and individuals without clinical risk factors have been shown to have worse outcomes. The ‘an...

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Detalles Bibliográficos
Autores principales: Adikari, Dona, Gharleghi, Ramtin, Zhang, Shisheng, Jorm, Louisa, Sowmya, Arcot, Moses, Daniel, Ooi, Sze-Yuan, Beier, Susann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214399/
https://www.ncbi.nlm.nih.gov/pubmed/35725256
http://dx.doi.org/10.1136/bmjopen-2021-054881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214399/
https://www.ncbi.nlm.nih.gov/pubmed/35725256
http://dx.doi.org/10.1136/bmjopen-2021-054881

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