Reframing Cardiovascular Diagnostics: Theoretical and Technological Advances in Heart Disease Detection

Abstract

Cardiovascular disease (CVD) continues to dominate global mortality statistics despite extensive

clinical research and therapeutic development. Early and accurate detection remains the

cornerstone of effective intervention. However, diagnostic methods often fall short due to

limitations in accessibility, invasiveness, and predictive power. This paper reframes cardiovascular

diagnostics by exploring both theoretical foundations and recent technological advances. We

analyze classical and contemporary diagnostic models through the lens of health systems theory,

behavioral models, and computational decision-making. Parallelly, we evaluate transformative

technologies—ranging from AI-assisted imaging and wearable sensors to molecular diagnostics

and remote monitoring systems—that challenge traditional paradigms. Together, these insights

illustrate a shifting landscape in which multidisciplinary approaches drive more timely, precise,

and personalized cardiac care.