ace[Artificial intelligence in cardiovascular prevention: a strategic opportunity for risk prediction and early diagnosis]
Cardiovascular diseases remain the leading cause of mortality and morbidity worldwide, with substantial impact in Italy. Cardiovascular prevention is a strategic priority, yet a significant gap persists between evidence-based guideline recommendations and their actual implementation in clinical practice. Artificial intelligence (AI), through machine learning and deep learning models, is emerging as a potentially transformative technology to bridge this gap, enabling more precise, dynamic, and personalized cardio…
AI models improve cardiovascular prevention by providing more precise, dynamic and personalized risk stratification than traditional scores and by enabling early detection of subclinical atrial fibrillation, left ventricular dysfunction and coronary disease through AI-enabled ECG and opportunistic imaging.
Implementation of AI for cardiovascular prevention remains limited by insufficient prospective evidence and randomized trials, lack of validation in heterogeneous populations, limited model interpretability, and inadequate digital and regulatory infrastructures, leaving a gap between guideline recommendations and real‑
Translation to routine care is constrained by lack of prospective validation and infrastructure gaps, requiring further trials and interpretability improvements before clinical adoption.
Evidence
- Peer-reviewedGiornale Italiano di Cardiologia2026-09-01
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Truvace Impact Record TRV-2026-0955, v1: “[Artificial intelligence in cardiovascular prevention: a strategic opportunity for risk prediction and early diagnosis].” Truvace, 2026-09-01. /record/TRV-2026-0955 (accessed at citation time). sha256 abae0b77a9c22f32…
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