Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.
Journal:
JACC. Cardiovascular imaging
PMID:
38752951
Abstract
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Authors
Keywords
Acute Coronary Syndrome
Aged
Artificial Intelligence
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Coronary Circulation
Coronary Vessels
Female
Hemodynamics
Humans
Male
Middle Aged
Multidetector Computed Tomography
Plaque, Atherosclerotic
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Risk Assessment
Risk Factors
Rupture, Spontaneous
Severity of Illness Index
Time Factors