Pathologic analysis of patient tissue specimens plays a central role in the field of oncology. Recent advances in artificial intelligence and computer vision offer tremendous potential for discovering new pathologic mechanisms of cancer treatment response and identifying new diagnostics for matching patients and therapies. We will discuss these new advances and their potential for accelerating progress in the diagnosis and treatment of cancer.