Artificial intelligence (AI) has emerged as a transformative tool in cardiology, enabling unprecedented advancements in diagnostics, risk stratification, and treatment optimization. A greater interest is now emerging in the role of AI in improving cardiovascular treatment strategies, focusing on coronary artery disease (CAD) management, percutaneous coronary intervention (PCI), and prevalent cardiac conditions like heart failure and arrhythmias. AI models, including machine learning algorithms and neural networks, offer superior accuracy in predicting complications, personalizing medication regimens, and guiding procedural decisions. For example, applications range from early risk stratification to post-PCI management of bleeding and ischemic risks. The integration of AI into clinical practice promises enhanced decision-making and patient outcomes, though challenges persist, including the need for diverse training datasets and randomized trials to validate these tools. This chapter underscores AI’s potential to revolutionize cardiovascular care while maintaining the cardiologist’s pivotal role in patient-centered treatment.