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CohortFlow: A Steerable Clinical Cohort Curation Agent with Localized Semantic Correction

arXiv cs.AI · arxiv.org Publicado:

arXiv:2610.36100v1 Announce Type: new Abstract: Language model agents for clinical cohort curation should accommodate evolving eligibility criteria without repeatedly processing unchanged requirements. We introduce CohortFlow, a steerable agent that represents natural language corrections as localized updates to a structured cohort specification and reconciles them with a persistent execution graph. Explicitly recorded semantic dependencies enable affected computations to be selectively invalid…

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