Artificial Intelligence in Cardiology: The Current Applications and Future Directions

Abstract

Artificial intelligence (AI), particularly in its subfields of machine learning and deep learning, is rapidly transforming the landscape of cardiovascular medicine at a very rapid rate. This narrative review provides a concise overview of current applications and prospects of AI in cardiology. The review also examines the central role of AI in predictive analytics and personalized medicine, from forecasting readmission of heart failure to personalizing drug dosing. The review highlights the growing role of wearable devices and telemedicine in enabling remote, near-real-time monitoring of patients. The article concludes by outlining the future of AI in cardiology, noting the need for innovation in explainable AI (XAI), addressing data bias, and establishing robust regulatory frameworks. The integration of AI is not a linear technological progression but a paradigm shift toward precise, efficient, and patient-centric cardiovascular treatment, in which human intelligence and machine intelligence are complementary.

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