Artificial Intelligence in Cardiology: Transforming Diagnosis and Patient Care in the 21st Century
Author(s):
Artificial intelligence (AI) is revolutionizing cardiology by enhancing diagnostic accuracy, risk prediction, and personalized treatment strategies. Machine learning (ML) and deep learning (DL) algorithms analyze vast datasets from electrocardiograms (ECGs), echocardiograms, cardiac computed tomography (CT), and electronic health records (EHRs), enabling earlier disease detection and optimized therapeutic decisions. This review explores AI applications in cardiac imaging, arrhythmia detection, heart failure management, and predictive analytics. We also discuss challenges, including data privacy, model interpretability, and regulatory hurdles. As AI continues to evolve, its integration into cardiology promises to improve patient outcomes and streamline clinical workflows.