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N eural networks are an advanced set of algorithms designed to determine patterns from data. Since 1959, researchers have speculated that neural networks could support clinical decision making. Despite the conceivable value of neural networks, many are still unclear how these methods work and what function they may serve. Although they may be varied in their details, all neural networks share a foundational architecture. A neural net is composed of layers of nodes (sometimes called neurons). The node is the basic unit of computation in neural nets. All nodes, in any single layer, are connected to all nodes in the adjacent layers. With any net, data are fed into the network through the input layer. Each node that results from the input layer has an associated weight and is connected to an unobservable layer of nodes, called the hidden layer. In the hidden layer, each node calculates the weighted sum of its input nodes and passes the sum, adjusted for a

Going Deep: The Role of Neural Networks for Renal Survival and Beyond