AI systems in cancer diagnostics primarily utilize machine learning and deep learning techniques to process and interpret large volumes of medical data. For instance, AI algorithms can analyze medical imaging data like X-rays, CT scans, and MRIs to detect abnormal growths or lesions that may indicate the presence of cancer. Additionally, AI can evaluate histopathology slides to identify cancerous cells with high accuracy.