Second-order dynamical integration of LLM risk outputs produces smooth anticipatory concern trajectories in synthetic ward scenarios, unlike the sharp cliffs from stateless agents.
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation
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Modeling Clinical Concern Trajectories in Language Model Agents
Second-order dynamical integration of LLM risk outputs produces smooth anticipatory concern trajectories in synthetic ward scenarios, unlike the sharp cliffs from stateless agents.