Artificial Intelligence in Early Diagnosis of Cardiovascular Diseases: A Clinical Data-Based Study

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of global morbidity and mortality, underscoring the urgent need for accurate and timely diagnosis. Traditional diagnostic methods, while effective, often face limitations in detecting early-stage abnormalities due to human error, subjective interpretation, and variability in clinical data.