Precision cardiovascular medicine with big data and AI

Abstract 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.