Evolution and Future Directions of Diagnostic Technologies in Coronary Heart Disease: A Theoretical Exploration

Abstract

Coronary Heart Disease (CHD) remains the leading global cause of death, representing a persistent challenge

in modern healthcare. Early detection is crucial for reducing mortality and improving treatment outcomes.

Over the past two decades, diagnostic technologies for CHD have progressed dramatically—from traditional

tools like electrocardiograms (ECG) and treadmill stress testing to advanced imaging methods such as

Cardiac Magnetic Resonance Imaging (CMR) and Computed Tomography Coronary Angiography (CTCA),

as well as biomarker analysis and wearable biosensors. This paper provides a theoretical exploration of how

these technologies have evolved, the factors that have driven their clinical adoption, and the emerging trends

that define the future of cardiac diagnostics. Drawing on empirical patterns and conceptual frameworks, the

discussion emphasizes diagnostic accuracy, non-invasiveness, patient accessibility, and digital integration.

The study concludes with a forward-looking assessment of potential barriers, including ethical challenges,

cost disparities, and infrastructural limitations, advocating for equitable implementation and

multidisciplinary collaboration to fully harness diagnostic innovations for global cardiac care.