Automated systems enhance cancer diagnosis by analyzing complex medical data such as medical imaging scans, tissue samples, and genetic information. For instance, AI algorithms can detect patterns in imaging scans that may be indicative of cancer, often with a higher accuracy rate than human radiologists. Additionally, automated systems can analyze genetic biomarkers to identify specific cancer types and predict their behavior.
