Title : AI & machine learning in cardiovascular risk prediction: Unlocking the potential of predictive algorithms for early detection & management
Abstract:
Artificial Intelligence (AI) and Machine Learning (ML) are advancing cardiovascular care by achieving over 90% accuracy in early risk prediction for myocardial infarction and atrial fibrillation, as demonstrated by convolutional neural networks (Liu et al., 2023). Gradient boosting models improve risk stratification by 35%, enhancing decision-making for interventions. In cardiac rehabilitation, tele-rehabilitation has increased adherence by 30% (Anderson et al., 2024), while wearables provide continuous biometrics that reduce readmission rates by 20%. AI-driven CR programs personalize exercise protocols and flag complications in real time. These integrative technologies promise a transformative shift in precision diagnostics, postoperative recovery, and long-term cardiovascular outcomes.
