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English(EN) HealMed: Multilingual Evaluation of Large Language Models in Medicine

LLM在医疗应用和罕见病建模方面得到评估

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了两种利用大语言模型（LLM）的独特方法。第一种是HealMed，一个用于医学领域LLM多语言评估的新基准，包含九种语言的1000个示例，由23名医学专家开发。第二种方法利用LLM作为合成临床专家，以改进罕见病的纵向建模，特别是通过将LLM衍生的临床知识整合到变分自编码器中，成功预测了脊髓性肌萎缩症儿童的运动功能里程碑。 AI

影响 LLM在跨语言医学知识评估和利用合成临床专业知识增强罕见病建模方面都显示出潜力。

排序理由 arXiv上发表了两篇关于LLM在医学领域新应用的论文。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LLM在医疗应用和罕见病建模方面得到评估

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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yingjian Chen (Drew), Fan Gao (Drew), Sherry T. Tong (Drew), Haoyu Zhang (Drew), Aosong Feng (Drew), Kevin W. Jin (Drew), Xing Wu (Drew), Jinghui Lu (Drew), Abdul Samad (Drew), Akbar Faruqi (Drew), Cesar Caraballo (Drew), Cibele Brand\~ao (Drew), Dhruva… ·

    HealMed：医学领域大型语言模型的多语言评估

    arXiv:2608.19981v1 Announce Type: new Abstract: We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn from nine datasets and covering three task formats: …

  2. arXiv cs.AI TIER_1 English(EN) · Clemens Sch\"achter, Astrid Pechmann, Janbernd Kirschner, Jan Hasenauer, Harald Binder ·

    大型语言模型作为合成临床专家，为纵向罕见病建模提供信息

    arXiv:2608.16507v1 Announce Type: new Abstract: Due to the limited amount of information, modeling longitudinal rare-disease data can benefit from integrating clinical knowledge. Yet, elicitation of expert knowledge and formalization for model fitting is challenging, in particula…

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