Application of artificial intelligence in trauma orthopedics: Limitation and prospects

Figure 2 Schematic exemplification of an artificial neuron to highlight its similarity to a biological neuron. Data input (X) is termed weight (W) in an artificial neuron. As in, Xs are multiplied by their Ws, bias value (b) is added to allow the model to fit better, and a nonlinear mathematical formula determines the output (Y) for the next neurons in line.