English(EN) PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

新的PLACID系统支持用于临床缩略语的隐私保护LLM

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了PLACID，这是一种新颖的隐私保护大型语言模型（LLM）方法，专门用于临床应用。该系统使用较小的、设备上的模型来处理受保护的健康信息，避免了将敏感数据发送到外部云服务器相关的隐私风险。PLACID采用级联管道，首先使用通用模型检测临床缩略语，然后将其路由到专门的生物医学模型进行准确消歧，实现了81%的扩展准确率。 AI

影响通过解决敏感患者数据的隐私问题，支持LLM在医疗保健领域的安全部署。

排序理由该集群描述了一篇在arXiv上发表的研究论文，详细介绍了一个新模型和方法论。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Manjushree B. Aithal, Ph. D., Alexander Kotz, James Mitchell, Ph. D · 2026-10-15 04:00

PLACID：用于缩略语临床推理和消歧的隐私保护大型语言模型

arXiv:2603.23678v2 Announce Type: replace Abstract: Large Language Models (LLMs) offer transformative solutions across many domains, but healthcare integration is hindered by strict data privacy constraints. Clinical narratives are dense with ambiguous acronyms, misinterpretation…

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报道来源 [1]

PLACID：用于缩略语临床推理和消歧的隐私保护大型语言模型

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