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August 24, 2025SensorsOpen Access

Digital Cardiovascular Twins, AI Agents, and Sensor Data: A Narrative Review from System Architecture to Proactive Heart Health

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Authors

NTNurdaulet TasmurzayevBABibars AmangeldyБИБаглан Иманбек

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Overview

Narrative review synthesizes evidence on AI and digital twins enhancing cardiovascular disease diagnostics, suggesting improved proactive care strategies.

Key Points

  • Proactive care reduces the impact of cardiovascular disease by detecting silent pathologies early through advanced technologies.
  • The review encompasses findings from 183 studies, showcasing the integration of AI and digital twins in heart health diagnostics.
  • Utilizing wearable IoT devices and AI analytics forms a multi-layered architecture for personalized cardiovascular predictions.
  • Implications include transforming cardiology from reactive treatments to proactive management, emphasizing the need for regulatory frameworks.

Cite This Study

Tasmurzayev et al. (2025) studied this question.

synapsesocial.com/papers/68af5bc7ad7bf08b1eadfff2https://doi.org/10.3390/s25175272
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-Driven Multimodal Frameworks for Cardiovascular Diagnostics: Integrating Sensors, Imaging, and Robotic Systems2025
  2. 2Digital twins in cardiology and cardiovascular disease management: a review2026
  3. 3FROM DATA TO CLINICAL DECISIONS: A REVIEW OF ARTIFICIAL INTELLIGENCE AND MODERN TECHNOLOGIES IN CARDIOVASCULAR CARE2026
  4. 4Integrating AI in Cardiovascular Systems: Innovations in Diagnosis, RiskPrediction, and Management2026
  5. 5The Digital Heart: How Artificial Intelligence is Revolutionizing Cardiovascular Medicine in the 21st Century2025