Cardiovascular disease is a major cause of death worldwide and requires continuous improvements in its classification to enable effective diagnosis and treatment. This review provides a comprehensive review of the evolving state of the art in the classification of cardiovascular diseases. The paper explores traditional classification techniques such as symptom-based and anatomical classifications, highlighting their limitations in accurately characterizing the diverse spectrum of heart diseases. The advent of advanced technologies, particularly in the fields of genetics, imaging, and artificial intelligence, has revolutionized the classification paradigms. Genetic markers and omics data have allowed for a more nuanced understanding of hereditary cardiac disorders, aiding in precise diagnosis and targeted therapies. Moreover, cutting edge. Techniques improved the view of cardiac structures, allowing a more precise categorization of structural heart disorders.