Evaluating artificial neural networks for medical applications

The validity and usefulness of an artificial neural network depends on whether an appropriate measure is used to assess its accuracy and whether the artificial neural network is significantly more accurate than traditional statistical models for the medical task. We discuss a method for determining whether an artificial neural network is necessary for the task, how to select the most appropriate measure of model accuracy, and the importance of significance testing.