A position paper arguing that biomedical AI should move from correlation-based LLMs toward agentic systems that perform intervention-based causal reasoning, and listing the challenges and opportunities.
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Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine
A position paper arguing that biomedical AI should move from correlation-based LLMs toward agentic systems that perform intervention-based causal reasoning, and listing the challenges and opportunities.