1. A system for identifying radionuclide emissions, comprising: at least one processor for processing output signals from a radionuclide detecting device; at least one training algorithm run by said at least one processor for analyzing data derived from at least one set of known sample data from said output signals; at least one classification algorithm derived from said training algorithm for classifying unknown sample data; wherein said at least one training algorithm analyzes said at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by said detecting device.