Advances in machine learning have led to novel computational models that significantly improve prediction, diagnosis, and management of heart diseases such as stroke and myocardial infarction. These AI-driven approaches analyze complex clinical datasets to offer earlier detection and personalized risk assessments, marking a technological revolution in cardiovascular healthcare. Researchers emphasize the growing role of machine learning tools in optimizing patient outcomes and resource allocation.