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Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine coronary computed tomography angiography

output:32c92108159b67a9e3a198ca

This dossier keeps one entity, its published attributes, every direct edge and the supporting source snapshots under a stable URL.

Entity type · Research outputPublic dossier · indexable12 Nov 2026, 10:00

Identity extends only as far as the published stable identifier or explicit mapping. Similar names are not merged. Missing links mean not observed in the bounded sources—not absent in reality.

identity ≠ name similarity · edge ≠ causality
1direct evidenced connections
1exact-identifier edges
2referenced source snapshots
6published attributes
ONE-HOP EVIDENCE

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Exact identifieredge:project-output:965286:32c92108159b67a9e3a198ca
Relationshiphas an observed research output
ProjectMAESTRIA · Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation
CORDIS project code

No additional excerpt published.

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PUBLISHED ATTRIBUTES

Fields retained with this identity

Attributes are descriptive source fields. They do not create cross-dataset identity unless an edge states that join explicitly.

Citation Count
17
Is Open Access
true
Open Aire Id
doi_dedup___::8bd944f69439b4a80d485efe2d9d6caa
Output Type
publication
Persistent Identifiers
10.1093/ehjqcco/qcae085 · 2434/1185918 · https://repository.ubn.ru.nl/handle/2066/328459 · PMC12187117 · 39341792
Publication Date
2024-09-28
PROVENANCE

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01
german-ai-research-to-transfer-indexdoi_dedup___::8bd944f69439b4a80d485efe2d9d6caa · openaire_research_product_id
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02
german-ai-research-to-transfer-index965286:output:32c92108159b67a9e3a198ca · cordis_project_code
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