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English(EN) Advancing Clinical Trial Outcome Prediction with Domain-Specific Large Language Models

大语言模型在医疗保健领域的审计、诊断编码和试验结果预测方面展现出潜力

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员正在探索大语言模型（LLMs）在专业领域的应用能力，尤其是在医疗保健领域。一项研究表明，像GPT-6 Astra这样的大语言模型可以通过分析计算而非直接访问权重来有效地审计和修复临床预测网络，即使在拥有数万个权重的网络上也能可靠地运行。另一篇论文显示，对Qwen、Llama和Mistral系列等较小的开放权重LLM进行指令微调，可以显著提高它们使用ICD-10-GM和ICD-O-3编码德国肿瘤诊断的准确性。第三项研究强调了BioBERT和BioMistral等领域特定LLM在预测临床试验结果方面的潜力，通过探测技术以更低的计算成本实现了与现有方法相当或更优的结果。 AI

影响 大语言模型在医疗保健等专业领域展现出日益增长的实用性，有望提高诊断准确性、临床试验效率和模型审计能力。

排序理由 该集群包含三篇发表在arXiv上的学术论文，详细介绍了LLM在医疗保健领域应用的研究。

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大语言模型在医疗保健领域的审计、诊断编码和试验结果预测方面展现出潜力

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该集群包含三篇发表在arXiv上的学术论文，详细介绍了LLM在医疗保健领域应用的研究。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Zhiyu Liu, Xinyu Yang ·

    计算而非权重访问：大型语言模型作为临床预测网络的审计者

    arXiv:2611.07847v1 Announce Type: cross Abstract: Frontier large language models (LLMs) have been reported to read, edit and write the weights of small neural networks, raising the prospect of auditing clinical prediction models from their files alone. Public demonstrations, howe…

  2. arXiv cs.AI TIER_1 English(EN) · Stefan Lenz, Lakisha Ortiz Rosario, Georg Vollmar, Arsenij Ustjanzew, Fatma Alickovic, Thomas Kindler, Torsten Panholzer ·

    使用医学分类数据对大型语言模型进行指令微调可改进德语肿瘤诊断的ICD编码

    arXiv:2510.13624v2 Announce Type: replace-cross Abstract: Accurate coding of tumor diagnoses with ICD-10-GM and ICD-O-3 is essential for structured cancer documentation in Germany. Smaller open-weight LLMs are appealing for privacy-preserving automation but often struggle with co…

  3. arXiv cs.AI TIER_1 English(EN) · Burak Bakkar, Hana Moalla, Mohamed Salem Jedidi, Haifa Ben Messaoud, Nicolas Lopez Carranza ·

    使用领域特定大语言模型推进临床试验结果预测

    arXiv:2610.41710v1 Announce Type: new Abstract: Clinical trial failures are a major barrier to efficient drug development, incurring substantial costs and delaying patient access to effective therapies. Structured approaches such as the Hierarchical Interaction Network (HINT) pre…

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