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English(EN) The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology

大语言模型系统自动化临床总结和试验识别

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新研究论文详细介绍了“The Daily Dose”（TDD），一个由大语言模型驱动的系统，旨在为放射肿瘤学从业者自动化临床总结和识别相关的临床试验。早期评估显示，临床医生采纳率和满意度很高，相当一部分用户报告节省了时间。该系统集成到现有工作流程中，展示了强大的可用性和感知影响，表明其在临床实践中提高效率的潜力。 AI

影响 自动化临床总结和试验识别，可能为临床医生节省时间并改善患者护理。

排序理由 该集群描述了一篇研究论文，详细介绍了在大语言模型在特定医学领域的创新应用。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

大语言模型系统自动化临床总结和试验识别

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该集群描述了一篇研究论文，详细介绍了在大语言模型在特定医学领域的创新应用。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jason Holmes, Federico Mastroleo, Mariana Borras-Osorio, Srinivas Seetamsetty, Satomi Shiraishi, Mirek Fatyga, Judy C. Boughey, Cornelius A. Thiels, William G. Breen, Daniel J. Ma, Daniel K. Ebner, David M. Routman, Brady S. Laughlin, Carlos E. Vargas, S… ·

    每日剂量：工作流集成的大型语言模型自动化，用于放射肿瘤学中的临床总结和试验识别

    arXiv:2605.26346v1 Announce Type: new Abstract: Objective: To describe the design and early clinical evaluation of The Daily Dose (TDD), an LLM-driven, automated clinical summarization and clinical-trial identification system integrated into routine radiation oncology practice. D…

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