通过ChatGPT 4.0的大型语言模型处理能力,生成分子瘤委员会建议 - - 对真实世界的数据进行批判性评估
Maximilian Schmutz1,2,3, Sebastian Sommer1, Julia Sander2
1Department of Hematology and Oncology, Faculty of Medicine, University of Augsburg, Augsburg 86156, Germany.
The oncologist
|September 19, 2025
概括
像ChatGPT 4.0这样的大型语言模型通过提供更多的治疗建议来提高分子瘤板 (MTB) 的效率. 建议在精密瘤学中采用混合方法,将人类专业知识与人工智能支持相结合.
科学领域:
- 在瘤学中使用人工智能
- 临床决策支持系统 临床决策支持系统
- 精准医学是一门精准的医学.
背景情况:
- 大型语言模型 (LLM) 显示了改善精密瘤学的临床决策的潜力.
- 分子瘤板 (MTB) 对于复杂的癌症病例管理至关重要.
- 本研究评估了与人类专家团队相比,ChatGPT 4.0在为现实癌症病例生成治疗建议中的实用性.
研究的目的:
- 评估ChatGPT 4.0在生成复杂癌症病例治疗建议中的性能.
- 将ChatGPT 4.0的建议与人类分子瘤委员会 (hMTB) 团队的建议进行比较.
- 评估人工智能在精密瘤学中产生的建议的效率和质量.
主要方法:
- 从奥格斯堡综合癌症中心对20例匿名MTB病例进行了回顾性分析.
- 使用推类型,信息密度,一致性,证据水平和效率等指标对hMTB输出进行ChatGPT 4.0建议的评估.
- 在每个案例中三次提示ChatGPT 4.0,以评估建议的可变性.
主要成果:
- 与hMTB (P=.005) 相比,ChatGPT 4.0产生了显著更多的治疗建议 (中位数为3对1).
- 信息密度得分相似 (ChatGPT 4.0中位数为0.67与hMTB中位数为0.75;P=.084).
- 聊天GPT 4.0的效率显著更高 (中位数为15.2分钟与34.7分钟;P<.001),但偶尔使用较低水平的证据.
结论:
- 将ChatGPT 4.0集成到MTB工作流中可以提高效率并提供相关建议,特别是在指南支持的情况下.
- 证据优先级的变化需要在人工智能辅助瘤学决策中持续进行人类监督.
- 结合人类专业知识和LLM支持的混合方法可以优化精确瘤学决策.
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