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English(EN) PsyCIDRA: A Dual-Agent Framework for Psychiatric Interviewing and Diagnostic Reasoning

新双代理AI框架助力精神科诊断

研究人员开发了PsyCIDRA,一个新颖的双代理框架,旨在协助精神科访谈和诊断推理。该系统利用一个代理进行自由形式的访谈,维护笔记并参考ICD-11等诊断标准,而第二个代理则分析访谈记录以生成具有支持或冲突证据的诊断假设。在模拟和真人参与者中的评估表明,与直接提示方法相比,PsyCIDRA实现了更高的诊断一致性,显示出LLM代理在精神科评估中的巨大潜力。 AI

影响 该框架通过利用LLM进行复杂的对话评估,可以提高心理健康领域的诊断准确性和效率。

排序理由 该集群描述了一篇在arXiv上发表的研究论文,详细介绍了一个用于精神科诊断的新AI框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新双代理AI框架助力精神科诊断

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该集群描述了一篇在arXiv上发表的研究论文,详细介绍了一个用于精神科诊断的新AI框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Milad Mohammadi, Fatemeh Akrami Shamsabadi, Zahra Mohseni, Amirhossein Safdarian, Malekfarhad Malek, Hadi Moradi, Hesham Faili ·

    PsyCIDRA:用于精神科访谈和诊断推理的双代理框架

    arXiv:2610.07473v1 Announce Type: new Abstract: Large language models show promise in clinical reasoning, but psychiatric interviewing requires guiding an evolving conversation. Their ability to carry out this interactive assessment remains less studied. We present PsyCIDRA, a du…