AI-based analysis of OCT images effectively identifies thin-cap fibroatheromas (TCFA) with high prognostic accuracy, offering a standardized alternative to manual assessment.
AI-identified TCFA in non-culprit lesions was significantly associated with a 2-fold increase in 2-year MACE, whereas manual core lab identification did not reach statistical significance.
Evaluation of the complete imaged coronary segment via AI showed a 5.5-fold increase in risk, providing a high negative predictive value of 97.6% for future events.
Introduction: The Quest for the Vulnerable Plaque
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
