Summary
Evidence-based review of AI applications across cardiovascular care (diagnostics, imaging, risk prediction, decision support), with recommendations for validation, equity, and implementation. Emphasizes outcome monitoring and clinician oversight.
Healthcare Implications
Cardiology services can use the statement to guide evaluation and deployment of AI tools (e.g., ECG algorithms, imaging analysis). Highlights transparency, bias assessment, and clinical impact evaluation as prerequisites for adoption.