AI technology transforms routine chest computed tomography (CT) scans by precisely quantifying—rather than simply detecting—key cardiovascular imaging risk factors such as heart calcification, aorta calcification, and fat around the heart. By shifting from binary "yes or no" findings to actual measurement, clinicians can more accurately identify high‑risk patients and intervene earlier to help prevent heart attacks and strokes. Patients with these imaging risk factors who were already using preventive therapies like statins and aspirin showed lower cardiovascular risk, suggesting the need for larger longitudinal studies to clarify how quantified imaging markers interact with these medications over time.
In this interview, Deepak L. Bhatt MD, FACC and Tzung-Dau Wang, MD, PhD discuss "AI-Enabled Nationwide Opportunistic Screening of Non-Contrast Chest CT for Death and CV Outcomes".
ACCEL Lite: Featured ACCEL Interviews on Exciting CV Research