English(EN) CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs

CareGuardAI框架提升了患者端医疗保健LLM的安全性和准确性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-01 04:00

研究人员开发了CareGuardAI，一个旨在减轻用于患者端医疗保健应用的大型语言模型（LLM）的临床风险和幻觉的新安全框架。该系统借鉴了ISO 14971，纳入了临床安全和事实可靠性的风险评估模块。CareGuardAI采用多阶段管道，包含一个控制器智能体和双重风险评估，以确保响应在发布给患者之前达到安全阈值。 AI

影响为医疗保健领域的LLM引入了一个新颖的风险感知安全框架，旨在提高临床安全性和减少患者互动中的幻觉。

排序理由这是一篇详细介绍医疗保健应用新AI安全框架的研究论文。

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Elham Nasarian, Abhilash Neog, Kwok-Leung Tsui, Niyousha HosseiniChimeh · 2026-05-01 04:00

CareGuardAI：面向患者的 LLM 的上下文感知多代理护栏，用于临床安全和幻觉缓解

arXiv:2604.26959v1 Announce Type: cross Abstract: Integrating large language models (LLMs) into patient-facing healthcare systems offers significant potential to improve access to medical information. However, ensuring clinical safety and factual reliability remains a critical ch…

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报道来源 [1]

CareGuardAI：面向患者的 LLM 的上下文感知多代理护栏，用于临床安全和幻觉缓解

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