{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"AI-Enabled Nationwide Opportunistic Screening of Non-Contrast Chest CT for Death and CV Outcomes","description":" AI technology transforms routine chest computed tomography (CT) scans by precisely quantifying\u2014rather than simply detecting\u2014key cardiovascular imaging risk factors such as heart calcification, aorta calcification, and fat around the heart. By shifting from binary \u201cyes or no\u201d findings to actual measurement, clinicians can more accurately identify high\u2011risk 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 \u201cAI-Enabled Nationwide Opportunistic Screening of Non-Contrast Chest CT for Death and CV Outcomes\u201d.  ","author_name":"ACCEL Lite: Featured ACCEL Interviews on Exciting CV Research","author_url":"http:\/\/accelaccorg.libsyn.com\/website","html":"