Artificial Intelligence (AI) is making significant strides in transforming cardiovascular care. Recent advancements have seen AI-based tools being integrated into various facets of cardiovascular health, from diagnostics to prognostics, and even in routine clinical practice. Researchers are increasingly leveraging AI to standardize and expedite traditional workflows, thereby enhancing the precision and efficiency of cardiovascular care. These tools are capable of processing unstructured data, such as biometric images and signals, to predict disease risks and outcomes effectively. AI’s application extends to interpreting electrocardiograms for conditions like atrial fibrillation and detecting structural heart diseases. The integration of AI into wearable devices has also improved the monitoring of chronic cardiovascular conditions. While these advancements hold great promise, the review also addresses challenges such as data privacy, bias in AI models, and the need for regulatory controls. Ultimately, AI is poised to make cardiovascular care more personalized, accessible, and precise, but careful implementation is crucial to maximize its benefits across diverse populations.

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