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English(EN) Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment

AI系统TrialGPT 2.0改善癌症患者的临床试验匹配

一款名为TrialGPT 2.0的新AI系统已被开发出来,用于协助癌症患者与临床试验进行匹配,旨在提高招募率并缩短筛选时间。该系统已在多个肿瘤学环境中进行了评估,包括政府和学术机构,并显示出在识别合适试验方面有显著改进。在回顾性评估中,TrialGPT 2.0成功检索到约91%病例的临床医生推荐试验,并在前瞻性研究中将患者获得试验机会的途径扩大了90%以上。为了促进进一步研究,开发人员还推出了NIH-TrialBench,这是一个用于评估AI匹配系统的合成患者小插图数据集。 AI

影响 提高临床试验匹配效率,并通过改善患者获得试验的机会来潜在地加速癌症药物的开发。

排序理由 该集群描述了一篇详细介绍用于临床试验匹配的新AI系统和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

AI系统TrialGPT 2.0改善癌症患者的临床试验匹配

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该集群描述了一篇详细介绍用于临床试验匹配的新AI系统和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yin Fang, Qiao Jin, Shubo Tian, Lauren He, Maya Geer, Noor Naffakh, Ryan Huu-Tuan Nguyen, Zifeng Wang, Jimeng Sun, Charalampos S. Floudas, James L. Gulley, Kamilia Moalem, Catarina Martins Maia, Amanda Nottke, Juan W. Valle, Melinda Bachini, Lourdes Roch… ·

    迈向AI辅助临床试验匹配:实践考量、多中心评估与真实世界部署

    arXiv:2609.01202v1 Announce Type: cross Abstract: Clinical trials are essential for advancing cancer care and drug development, but many fail because of insufficient patient enrollment. While there is growing interest in using AI to support patient recruitment, existing systems l…