Abstract
Cardiovascular disease mortality is increasing in North Carolina with persistent inequality by race, income, and location. Artificial intelligence (AI) can repurpose the widely available electrocardiogram (ECG) for enhanced assessment of cardiac dysfunction. By identifying acceler-ated cardiac aging from the ECG, AI offers novel insights into risk assessment and prevention.
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CITATION STYLE
Conners, K. M., Avery, C. L., & Syed, F. F. (2024). Advancing Cardiovascular Risk Assessment with Artificial Intelligence: Opportunities and Implications in North Carolina. North Carolina Medical Journal. Medical Society of the State of North Carolina. https://doi.org/10.18043/001c.91424
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