
Volume 3, 2025 - Issue 1
Advances in Non-Invasive Diagnostic Techniques for Heart Diseases: A Review
Abstract
Non-invasive diagnostic techniques have made significant strides in the early detection and management of cardiovascular diseases. Advances in imaging modalities, such as echocardiography, cardiac MRI (CMR), CT, and PET/SPECT, have enhanced diagnostic accuracy and allowed for detailed assessment of heart function and structure, while reducing the risks associated with invasive procedures. In parallel, the emergence of electrocardiography (ECG) and wearable devices has enabled real-time monitoring, aiding in the detection of arrhythmias and chronic disease management. Furthermore, blood-based biomarkers, including troponins, natriuretic peptides, and microRNAs, have shown promise for early detection, risk stratification, and prognosis prediction, although they often need to be integrated with imaging and ECG data for comprehensive evaluations. Artificial intelligence (AI) and machine learning are transforming cardiovascular diagnostics by improving image reconstruction, ECG interpretation, and multi-modal data integration, offering personalized assessments and enhanced diagnostic precision. However, challenges such as cost, accessibility, regulatory hurdles, and clinician adoption remain significant barriers. Future research should focus on improving the accessibility, affordability, and interoperability of diagnostic tools across healthcare systems. With continued innovation, non-invasive techniques are poised to play an increasingly pivotal role in early intervention and improved outcomes for patients with heart diseases.
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