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Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_52c409dcb9a544db9e3dcdea6fa8452e

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

About this item

Full title

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-05, Vol.14 (1), p.11134-11134, Article 11134

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Whole-heart coronary calcium Agatston score is a well-established predictor of major adverse cardiovascular events (MACE), but it does not account for individual calcification features related to the pathophysiology of the disease (e.g., multiple-vessel disease, spread of the disease along the vessel, stable calcifications, numbers of lesions, and...

Alternative Titles

Full title

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_52c409dcb9a544db9e3dcdea6fa8452e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_52c409dcb9a544db9e3dcdea6fa8452e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-60584-8

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