Applying artificial intelligence (AI) to digital pathology demonstrably streamlines workflows. Image quality improves, image acquisition and viewing are more efficient, teaching and research are augmented, and clinical sample testing is simplified. Nevertheless, significant challenges remain for deployment of AI solutions in digital pathology (1) – and the biggest of these is noise.