ABSTRACT
Nuclear cardiology methods play a pivotal role in the diagnostic and prognostic assessment of coronary artery disease. Recently, the integration of artificial intelligence algorithms has emerged as a strategy to enhance the functional and diagnostic efficacy of these established methods. Artificial intelligence encompasses a spectrum of computational, classification, and analytical techniques designed to emulate human intelligence. Its application has yielded notable advancements in clinical processes related to diseases, particularly through the prompt and precise interpretation of medical images. In the realm of nuclear cardiology, artificial intelligence has progressively assumed a substantive role across all facets of imaging, spanning from data acquisition to interpretation.