Neural network application in physical medicine and rehabilitation

The purpose of this article is to provide an overview of neural networks an d their applications in physical medicine and rehabilitation. Conventional statistical models may present certain limitations that cars be overcome by neural networks, We show what neural networks are, how they "learn" regula rities from the data, and how they can classify previously unseen cases. We present advantages and disadvantages of using neural networks and compare them with regression models. We explain how neural networks can be used as statistical tools fbr making inferences using the example of a prognostic m odel that predicts ambulation after spinal cord injury.