This article discusses the use of computational pathology and artificial intelligence in diagnosing and treating cancer. It highlights the recent FDA approval of the first AI pathology system and the potential for AI to improve diagnostic accuracy and predict treatment response. The article also explores the use of self-supervised learning and large-scale deep neural networks in computer vision for pathology.