agent/papers/items/2026-2604-26959-careguardai-context-aware-multi-agent-guardrails-for-clinical-safety-hallucinati.md

Paper: CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs

---

type: paper title: "CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs" authors: Elham Nasarian, Abhilash Neog, Kwok-Leung Tsui, Niyousha HosseiniChimeh year: 2026 venue: arXiv url: https://arxiv.org/abs/2604.26959 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-07 updated_at: 2026-04-07 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CY
• cs.AI
• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: agent-safety

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-safety
• inferred topics: agent-evaluation, agent-safety, multi-agent, tool-use
• arXiv categories: cs.CY, cs.AI, cs.MA
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2604.26959