Researchers are exploring the application of agentic AI systems in clinical oncology, ranging from AI co-pilot tools that assist physicians to fully autonomous workflows for tumor board operations. The development represents a shift toward more independent AI systems capable of managing complex decision-making processes in cancer care settings. These advancements aim to enhance efficiency and standardization in oncology treatment planning and patient management.
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