Artificial intelligence (AI) and machine learning (ML) algorithms are increasingly being integrated into cancer monitoring systems. These technologies can analyze vast amounts of data from imaging studies, molecular diagnostics, and wearable devices to identify patterns and predict outcomes. AI-driven systems can assist in early diagnosis, treatment planning, and monitoring disease progression with high accuracy. They also enable the development of predictive models that can forecast patient responses to specific treatments.
