Artificial Intelligence and Machine Learning in Cardiovascular Risk Prediction

Artificial intelligence (AI) and machine learning are increasingly being utilized in cardiovascular risk prediction, offering innovative approaches to assess and stratify patient risk. By analyzing large datasets, these technologies can identify patterns and correlations that may not be apparent through traditional methods. AI algorithms can enhance risk models, improving the accuracy of predictions for cardiovascular events and guiding clinical decision-making. Ongoing research is focused on validating these algorithms in diverse populations and integrating them into clinical workflows. As AI continues to evolve, it holds great promise for improving cardiovascular risk management and patient outcomes.

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