Artificial Intelligence in Cardiology: Transforming Cardiovascular Healthcare
Artificial Intelligence in Cardiology: Transforming Cardiovascular Healthcare 1. Introduction Cardiovascular diseases (CVDs) remain the leading cause of global mortality, necessitating rapid, precise, and scalable diagnostic and therapeutic interventions. Artificial Intelligence (AI)—particularly machine learning (ML) and deep learning (DL)—has emerged as a disruptive paradigm in cardiology, enabling data-driven clinical decision-making at unprecedented levels of accuracy and efficiency. Contemporary evidence from high-impact SCIE Q1 journals and biomedical databases such as PubMed and ScienceDirect underscores AI’s capacity to redefine cardiovascular care across diagnostics, prognostics, and interventional workflows. 2. AI-Driven Diagnostic Transformation AI’s most mature and clinically validated contribution lies in cardiovascular diagnostics, particularly in electrocardiography (ECG), echocardiography, and cardiac imaging. Recent systematic reviews demonstrate that AI algorithm...