Artificial intelligence: Advances and new frontiers in medical imaging

Figure 1 Machine-learning requires pre-defined feature inputs which are then extracted in order to classify target image characteristics. AI: Artificial intelligence.

Figure 2 Deep-learning artificial intelligence application in triaging head computed tomography images. The input image characteristics are extracted and analyzed by the convolutional neural network to create an output. The output is then flagged or not flagged depending on the algorithm’s interpretation. AI: Artificial intelligence.