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English(EN) An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer

AI模型GatorOnco在结直肠癌治疗规划方面达到专家级水平

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了GatorOnco，一个用于结直肠癌治疗规划的具身大型语言模型。GatorOnco在包含UF Health大量临床文本的2820亿个token的海量数据集上进行训练，采用领域适应方法和具身检索增强生成方法来整合最新的临床指南。在临床评估中，GatorOnco表现出与肿瘤学家相当的专家级水平，在可读性和完整性方面获得更高评分，同时在正确性、时效性和安全性方面与专家表现持平。 AI

影响 展示了大型语言模型在复杂、高风险医疗决策中提供协助的潜力，提高了效率和准确性。

排序理由 发表了一篇详细介绍用于特定医疗应用的新型大型语言模型的学术论文。[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 →

AI模型GatorOnco在结直肠癌治疗规划方面达到专家级水平

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发表了一篇详细介绍用于特定医疗应用的新型大型语言模型的学术论文。[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) · Mengxian Lyu, Cheng Peng, Tim Jang, Ang Li, Mengyuan Zhang, Ziyi Chen, Leighton Elliott, Tianshi Liu, Lidice Galindo, Chiranjeevi Sainatham, Oscar F. Borja-Montes, Kaleb E. Smith, Ying Zhang, Lichao Sun, Jiang Bian, Gloria Lipori, Duane A. Mitchell, Eliz… ·

    用于结直肠癌治疗规划的代理生成式大语言模型

    arXiv:2608.09142v1 Announce Type: new Abstract: Treatment planning in precision oncology requires synthesizing heterogeneous patient information with rapidly evolving clinical guidelines to ensure guideline-concordant care. While large language models (LLMs) show promise in many …

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