A major issue that limits modeling to predict cardiac arrhythmia is that it is impossible to measure and monitor all the variables that make our hearts tick, but researchers have now developed an algorithm that uses artificial intelligence to model the electrical excitations in heart muscle. Their work draws on partial differential equations describing excitable media and echo state networks to cross-predict variables about chaotic electrical wave propagations in cardiac tissue.