Derivation and validation of an artificial intelligence-based plaque burden safety cut-off for long-term acute coronary syndrome from coronary computed tomography angiography.
Journal:
European heart journal. Cardiovascular Imaging
Published Date:
Jun 30, 2025
Abstract
AIMS: Artificial intelligence (AI) has enabled accurate and fast plaque quantification from coronary computed tomography angiography (CCTA). However, AI detects any coronary plaque in up to 97% of patients. To avoid overdiagnosis, a plaque burden safety cut-off for future coronary events is needed.
Authors
Keywords
Acute Coronary Syndrome
Aged
Artificial Intelligence
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Female
Follow-Up Studies
Humans
Male
Middle Aged
Plaque, Atherosclerotic
Predictive Value of Tests
Registries
Reproducibility of Results
Risk Assessment
Sensitivity and Specificity