Since 2012, convolutional neural networks (CNNs) have facilitated advances in deep learning with regard to image recognition and classification tasks. Cutting-edge AI technology has permeated medical imaging and computational pathology. However, these algorithms have not yet been incorporated into workflows for real-world application in clinical pathology.