This post is about the potential for machine learning and computer vision to improve cancer diagnosis and treatment by enabling early detection and prevention. The authors highlight the importance of accurate diagnoses, citing that 60% of patients undergo chemotherapy, which can have severe side effects, and that doctors often rely on "We caught it early" as a positive outcome. They discuss how medical imaging and AI technologies are advancing rapidly, allowing for object detection and categorization tasks to help identify abnormalities in tissue growth. The authors also emphasize the need for high-quality training data, collaboration between doctors and machine learning engineers, and the development of tools that support clinicians in annotating and reviewing medical images. The post concludes that the commercial adoption of medical AI will revolutionize healthcare, accelerating medical research by 100x and enabling preventative care rather than reactive treatment.