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<p>Cardiovascular disease remains the leading cause of death and disability worldwide. The convergence of big data and artificial intelligence (AI) is reshaping precision cardiovascular medicine through multimodal integration of electronic health records (EHRs), imaging, omics, and wearable data across the care continuum, enabling predictive, diagnostic, therapeutic, and system-level optimization. However, translation into durable clinical benefit remains constrained by evidentiary gaps, implementation complexity, and fragmented governance architectures.</p>

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Precision cardiovascular medicine with big data and AI

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月17日

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  • Qian Xu,
  • Yiwen Li,
  • MengMeng Zhu,
  • Yajie Cai,
  • Xi Cheng,
  • Wenting Wang,
  • Jianqing Ju,
  • Yanwu Xu,
  • Yanfei Liu,
  • Yue Liu

摘要

Cardiovascular disease remains the leading cause of death and disability worldwide. The convergence of big data and artificial intelligence (AI) is reshaping precision cardiovascular medicine through multimodal integration of electronic health records (EHRs), imaging, omics, and wearable data across the care continuum, enabling predictive, diagnostic, therapeutic, and system-level optimization. However, translation into durable clinical benefit remains constrained by evidentiary gaps, implementation complexity, and fragmented governance architectures.