MODERN METHODS OF EARLY DIAGNOSIS OF CARDIOVASCULAR DISEASES
Abstract
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the urgent need for efficient early diagnostic approaches. Recent technological advances have transformed cardiovascular screening from symptom-based detection to predictive, preventive, and real-time monitoring strategies. Modern methods including high-resolution imaging, biomarker profiling, wearable digital sensors, and artificial intelligence-driven risk prediction allow identification of subclinical structural, electrical, and metabolic abnormalities long before clinical manifestations appear. These approaches significantly enhance diagnostic precision, enable timely intervention, and improve long-term patient outcomes. This paper reviews the most advanced diagnostic modalities currently used in the early detection of cardiovascular diseases and discusses their clinical significance.
Keywords
Early diagnosis; cardiovascular disease; biomarkers; cardiac imaging; artificial intelligence; ECG monitoring; wearable sensors; cardiovascular risk prediction.
References
- European Society of Cardiology. Guidelines for Cardiovascular Disease Prevention.
- American Heart Association. Advances in Early Diagnosis of Cardiovascular Diseases.
- Nature Reviews Cardiology. Wearable Cardiac Monitoring Technologies, 2023.
- Journal of Cardiac Imaging. Early Detection of Coronary Artery Disease Using CCTA, 2022.
- Lancet Digital Health. Artificial Intelligence in Cardiovascular Risk Prediction, 2024.