Single-photon emission computer tomography (SPECT) myocardial perfusion (MPI) plays a crucial role in diagnosing cardiovascular disease risk, and deep learning models can predict major adverse cardiac events (MACE) more accurately than today’s standard imaging protocols. This may treat more high-risk patients before the onset of atherosclerosis and heart attacks, achieving better outcomes with lower medical, social, and economic costs.