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Purpose of Review <p>To survey the current landscape of AI-powered wearable and portable devices for remote cardiac care and population health, framed within a “health pyramid” that spans wellness and prevention at the base, chronic disease in the middle, and advanced or high-acuity disease at the apex. This framework illustrates how these devices will integrate into an ecosystem of multimodal data streams to move care upstream and enhance value across the continuum of cardiovascular health (Fig.&#xa0;1).</p> Recent Findings <p>This review reimagines the traditional health pyramid, framing recent advances in AI-enabled devices across five tiers that create value: detection, prediction, prevention, personalization, and population impact. Large-scale smartwatch trials have validated population AF screening, marking the foundation of digital detection. Deep learning ECG models extend this framework by predicting coronary, structural, and infiltrative heart disease with near-clinical accuracy. Multisensor platforms anticipate HF decompensation before hospitalization, enabling proactive prevention. Integration of cuffless BP and metabolic sensors facilitates continuous, personalized monitoring. Despite rapid progress, widespread adoption remains limited by key challenges including workflow integration, equity, and regulatory alignment. With ongoing outcome trials and improved interoperability, AI-powered devices are poised to transform cardiovascular prevention and care delivery at scale.</p> Summary <p>AI-powered devices have enabled a paradigm shift towards continuous, remote, and personalized cardiovascular care. Studies have established technical feasibility across multiple applications, but responsible adoption and scaling of these technologies require ongoing clinical validation, workflow integration, regulatory frameworks, and equitable access to achieve a durable impact on population health.</p>

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Artificial Intelligence Powered Wearable and Portable Devices for Remote Cardiac Care and Population Health

  • 期刊论文

  • 发表日期：

    2026年4月7日

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  • Ricardo E. De Armas,
  • Jagmeet P. Singh

摘要

Purpose of Review

To survey the current landscape of AI-powered wearable and portable devices for remote cardiac care and population health, framed within a “health pyramid” that spans wellness and prevention at the base, chronic disease in the middle, and advanced or high-acuity disease at the apex. This framework illustrates how these devices will integrate into an ecosystem of multimodal data streams to move care upstream and enhance value across the continuum of cardiovascular health (Fig. 1).

Recent Findings

This review reimagines the traditional health pyramid, framing recent advances in AI-enabled devices across five tiers that create value: detection, prediction, prevention, personalization, and population impact. Large-scale smartwatch trials have validated population AF screening, marking the foundation of digital detection. Deep learning ECG models extend this framework by predicting coronary, structural, and infiltrative heart disease with near-clinical accuracy. Multisensor platforms anticipate HF decompensation before hospitalization, enabling proactive prevention. Integration of cuffless BP and metabolic sensors facilitates continuous, personalized monitoring. Despite rapid progress, widespread adoption remains limited by key challenges including workflow integration, equity, and regulatory alignment. With ongoing outcome trials and improved interoperability, AI-powered devices are poised to transform cardiovascular prevention and care delivery at scale.

Summary

AI-powered devices have enabled a paradigm shift towards continuous, remote, and personalized cardiovascular care. Studies have established technical feasibility across multiple applications, but responsible adoption and scaling of these technologies require ongoing clinical validation, workflow integration, regulatory frameworks, and equitable access to achieve a durable impact on population health.