McLaren Health Care has introduced an innovative AI-powered tool that analyzes prior chest CT scans originally taken for unrelated reasons to detect previously unrecognized coronary artery calcium (CAC) and assess hidden heart disease risk. The technology enables opportunistic screening for cardiovascular risk without requiring new tests, potentially identifying at-risk patients years earlier and guiding preventive interventions.
Glimpse:
The AI tool automatically quantifies coronary artery calcium from existing non-cardiac chest CT scans, generating a CAC score and risk stratification that integrates into patient records. Validated for accuracy, it helps flag asymptomatic individuals who may benefit from statins, lifestyle changes, or further cardiac evaluation. By repurposing routine imaging data, the solution expands preventive cardiology reach, reduces missed opportunities, and supports population-level heart disease screening in clinical practice.
McLaren Health Care, a leading U.S. integrated health system, has rolled out a new AI-based tool designed to detect hidden cardiovascular risk by re-analyzing previously performed chest CT scans. The technology targets coronary artery calcium (CAC) a strong predictor of future heart attack and stroke risk—that is often present but overlooked when scans are done for non-cardiac indications (e.g., lung screening, trauma, or cancer follow-up).
The AI algorithm automatically identifies and quantifies calcified plaque in the coronary arteries, producing a reliable CAC score comparable to dedicated cardiac CT. It classifies patients into low, intermediate, or high-risk categories based on age, sex, and calcium burden, providing clinicians with actionable insights directly in the EHR. Early validation studies at McLaren showed strong agreement with manual expert readings and demonstrated that the tool can uncover significant CAC in up to 20–30% of patients whose scans were not originally evaluated for heart disease.
Key advantages of the approach include:
Opportunistic screening no additional radiation, cost, or patient visit required Early risk identification detecting subclinical atherosclerosis years before symptoms appear Guiding preventive therapy supporting decisions on statins, aspirin, lifestyle interventions, or cardiology referral Scalable & cost-effective leveraging existing imaging data to reach broader populations
McLaren is deploying the tool across its radiology and cardiology departments, with plans to integrate it into routine workflow for eligible scans. The initiative aligns with growing evidence that routine chest CTs represent an underutilized opportunity for cardiovascular risk assessment particularly in middle-aged adults undergoing lung cancer screening or other imaging.
By turning “incidental” findings into lifesaving insights, the AI tool has the potential to shift heart disease management from reactive to truly preventive, especially in high-risk populations.
“Many patients already have the data we need to assess heart risk it’s just been hiding in plain sight. This AI tool finally lets us see it and act on it.”
By
HB Team
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