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AI-Driven Multiagent System for Guiding First-Line Immunotherapy for NSCLC

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An AI multiagent system has shown capability in determining immunotherapy options for patients with non-small cell lung cancer (NSCLC) in a first-line setting. Presented by Dr. Federica Corso at the ESMO AI & Digital Oncology Congress, the system integrates diverse patient data to optimize treatment recommendations. In a study involving 58 stage IV NSCLC patients, the system achieved 72% correctness in treatment suggestions and 91% completeness, demonstrating the potential of agentic AI in clinical decision-making and highlighting the need for further validation.

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