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<p>Traditional cardiovascular care relies on episodic, resource-intensive evaluations. Consumer wearable and portable devices, combined with artificial intelligence (AI), offer a scalable, low-cost alternative. These devices can enhance care with high-fidelity cardiovascular data captured outside traditional care settings, with AI further increasing their value. This review explores how AI-enhanced digital health tools can transform cardiovascular care, improving early detection, personalized risk assessment, and proactive management, particularly in resource-constrained settings, while bridging gaps in traditional care models.</p>

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Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月2日

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  • Aline F. Pedroso,
  • Rohan Khera

摘要

Traditional cardiovascular care relies on episodic, resource-intensive evaluations. Consumer wearable and portable devices, combined with artificial intelligence (AI), offer a scalable, low-cost alternative. These devices can enhance care with high-fidelity cardiovascular data captured outside traditional care settings, with AI further increasing their value. This review explores how AI-enhanced digital health tools can transform cardiovascular care, improving early detection, personalized risk assessment, and proactive management, particularly in resource-constrained settings, while bridging gaps in traditional care models.