Key result
PWV paired with computational intelligence shows promise for CAD screening in underserved populations.
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Integrating Pulse Wave Velocity with Computational Intelligence and IoMT offers a promising, cost-effective approach to democratize CAD screening in underserved populations.
This review examines the figure of Dr. René Favaloro, a pioneer in cardiovascular surgery and advocate for social justice, who devoted his life to making advanced medical care accessible to underserved communities. Despite the increasing incidence of coronary artery disease (CAD), particularly in Asian and Latin American countries, Favaloro envisioned a healthcare system where innovative technology benefits everyone. Building on his ideals, we explore the democratization of healthcare access through innovative tools for cardiovascular risk assessment, specifically Pulse Wave Velocity (PWV) and its association with Coronary Artery Calcium Score (CACs). PWV, a non-invasive and cost-effective method, shows promise as a practical screening tool for CAD, particularly when combined with Computational Intelligence (CI) and the Internet of Medical Things (IoMT). The integration of PWV into a Point-of-Care Testing (POCT) framework could enhance preventive care, especially in underserved populations. By aligning with Favaloro's vision of equitable healthcare, this approach seeks to support CAD screening and risk assessment in low-resource settings, aiming to overcome socio-economic barriers and improve access to preventive cardiac care.
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Armentano et al. (2024) conducted a review in Coronary artery disease (CAD). Pulse Wave Velocity (PWV) was evaluated. Pulse Wave Velocity combined with Computational Intelligence shows promise as a practical, cost-effective screening tool for coronary artery disease in underserved populations.
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