THE IMPACT OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES ON EARLY DIAGNOSIS OF CARDIOVASCULAR DISEASES

Cardiovascular diseases remain a major cause of morbidity and mortality worldwide, and early diagnosis is essential for prevention of severe complications. Artificial intelligence technologies are increasingly used in cardiology for interpretation of electrocardiograms, imaging data, laboratory indicators, and clinical risk profiles. This study analyzes the role of artificial intelligence in early detection of cardiovascular diseases and evaluates its diagnostic and organizational advantages. The findings indicate that machine learning algorithms can improve risk stratification, support clinical decision-making, and identify pathological changes before clinical deterioration. Integration of artificial intelligence into routine practice may improve diagnostic accuracy and patient outcomes when combined with physician expertise.