This forum will bring together experts applying artificial intelligence to nuclear medicine imaging, showcasing how AI will expand the clinical value of established nuclear medicine techniques. Talks will cover AI-driven quantitative myocardial blood flow mapping for coronary artery disease, and a fully automated deep learning framework for pulmonary embolism diagnosis via V/Q scintigraphy. Together, these presentations will highlight how machine learning is enabling new diagnostic indications, improving accuracy, and streamlining clinical workflows in cardiac and pulmonary nuclear imaging.