Evaluation of an artificial intelligence model for opportunistic Agatston scoring on non-gated chest computed tomography.

ABSTRACT: The Agatston score is a measure of cardiovascular disease traditionally calculated on cardiac gated computed tomography (CT) of the chest. Cardiac gated CT is resource-intensive, can be hard to access, and involves extra radiation exposure. Artificial intelligence (AI) can be used to opportunistically calculate Agatston scores on non-gated CTs performed for other indications. This retrospective standalone performance assessment compared the accuracy of an AI model (Riverain Technologies ClearRead CT CAC) at calculating Agatston scores on non-gated CTs to both consensus radiologist interpretations on the same CTs and Agatston scores from the original radiology reports of paired cardiac gated CTs. It involved 491 non-contrast CT chest cases acquired at five hospitals in the United States bet

SUBMITTER: McKinney SE 

PROVIDER: S-EPMC12606249 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature