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English(EN) Evaluating Scaffolding-Oriented Multi-Agent Large Language Model System for Clinical Interview Training

AI系统培训医学生进行临床访谈 · 跟踪2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个多智能体大语言模型（LLM）系统，旨在培训医学生掌握临床访谈技能。该AI标准化病人（AI-SP）平台利用专门的智能体进行对话模拟、苏格拉底式提问和回合级评估。一项对100名医学生的调查表明，虽然诊断准确性保持不变，但AI-SP系统提高了整体考试成绩，尤其是在沟通、同理心和病史采集行为方面。 AI

影响 该AI系统可以通过提供可扩展且有效的临床访谈技能培训，提高学生的沟通和同理心表现，从而增强医学教育。

排序理由 该集群包含一篇详细介绍新型AI系统及其评估的研究论文。

在 arXiv cs.AI 阅读 →

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AI系统培训医学生进行临床访谈 · 跟踪2个来源

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Luming Yang, Haoxian Liu, Siqing Li, Rong Jia, Yue Xiao, Guanhua Chen, Li Lu ·

    用于临床访谈培训的脚手架式多智能体大语言模型系统的评估

    arXiv:2609.10939v1 Announce Type: cross Abstract: Clinical education must prepare medical students to conduct safe and coherent patient interviews under conditions of uncertainty. Traditional standardized patient (SP) training is resource-intensive and difficult to scale. We deve…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Li Lu ·

    用于临床访谈培训的脚手架式多智能体大语言模型系统的评估

    Clinical education must prepare medical students to conduct safe and coherent patient interviews under conditions of uncertainty. Traditional standardized patient (SP) training is resource-intensive and difficult to scale. We developed a scaffolding-oriented multi-agent Large Lan…

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