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Journal article

Fully automated plaque quantification with human-level performance and validation in large-scale cardiac CT cohort

Abstract:

Background: Coronary artery disease is the leading cause of morbidity and mortality worldwide, with atherosclerotic plaque burden recognised as a critical biomarker for cardiovascular risk. Although calcium scoring is widely used, it provides only partial information, and its manual nature limits scalability. Large-scale cardiac CT angiography (CCTA) registries linked with long-term outcomes offer a unique opportunity for population-level risk stratification. However, the absence of robust, f...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/ehjdh/ztaf143.050

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Institution:
University of Oxford
Role:
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Institution:
University of Oxford
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Author
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Institution:
University of Oxford
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Author
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Institution:
University of Oxford
Role:
Author


Publisher:
Oxford University Press
Journal:
European Heart Journal – Digital Health More from this journal
Volume:
7
Issue:
Supplement_1
Article number:
ztaf143.050
Publication date:
2026-01-12
DOI:
EISSN:
2634-3916


Language:
English
Source identifiers:
3656199
Deposit date:
2026-01-12
ARK identifier:
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