Creating a personalized treatment plan for cancer patients is complex and time-consuming. Automated systems can streamline this process by analyzing clinical guidelines, patient data, and the latest research to recommend optimal treatment plans. This includes determining the appropriate chemotherapy regimens, radiation doses, and surgical interventions, which can be tailored to the individual needs of each patient.
