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Updated: Jan 23, 2026

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在使用大型语言模型为前列腺癌插入水凝周向间隔器后,对不良事件的自动分类

Nishan Sohoni1, Nimit S Sohoni1, Ryan A Sutherland1

  • 1Department of Urology, Yale University, New Haven, CT, USA.

Urology
|January 21, 2026
PubMed
概括

大型语言模型 (LLM) 在分析前列腺辐射中使用的SpaceOAR水凝间隔器的不良事件 (AE) 中表现有前途. GPT-4o与人类的准确度非常相匹配,识别了常见的问题,如错位的凝和感染.

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