SPIN Unprocessed October 28, 2026 ai_technology research
CohortFlow: A Steerable Clinical Cohort Curation Agent with Localized Semantic Correction
View original on arxiv.orgOverview
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 invalida
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Artificial Intelligence
View all →- WAKMan: Workload Aware KVCache Manager
- Executable Archaeology of Programs That Model Programming: Reanimating the Heuristic Compiler (1961) and KBEmacs (1984)
- OA-RAG: Ontology-based Agentic RAG for Faithful LLM Reasoning
- Plenty of Room in the Middle: Revealing Opportunities on a GPU Cluster via Fine-Grained Monitoring
- How Stable Are LLM-Generated Proofs Under Program Refactoring? A Stress Test for Verifiable Code Generation
- Ontology-guided multi-agent reasoning for explainable differential diagnosis
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO