评估在双子驱动的牙科创伤工作流程中遵守指南:独立的双子聊天与基于文档的笔记本LMLM
Nicolás Dufey-Portilla1, Francesc Abella Sans2, Fernando Duran-Sindreu2
1Department of Endodontics, School of Dentistry, Universidad Andres Bello, Viña del Mar, Chile.
概括
与独立的双子座聊天相比,基于文档的AI工作流程NotebookLM在回答牙科创伤问题方面表现出卓越的准确性和完美的一致性. 这表明,文档接地增强了临床决策支持的AI可靠性.
科学领域:
- 人工智能在牙科中的应用
- 临床决策支持系统 临床决策支持系统
- 牙科创伤学指南 牙科创伤学指南
背景情况:
- 由人工智能驱动的工具为牙科创伤决策支持提供了潜在的支持.
- 评估不同AI工作流程的准确性和一致性至关重要.
- 欧洲内牙科学会和国际牙科创伤学会的现有指南为临床管理提供了基础.
研究的目的:
- 为了比较两个谷歌双子驱动的工作流程的准确性和账户间一致性:独立的双子聊天和笔记本LM.
- 根据既定的指导方针,评估他们回答关于创伤永久牙管理的二分临床问题的表现.
主要方法:
- 一个横截面模拟使用了99个从ESE和IDTA指南衍生出的二分法问题.
- 三位学术内牙医通过三个独立的谷歌账户向Gemini和NotebookLM提交了问题.
- 准确性是通过与指南答案的一致性来衡量的;一致性是通过跨试验的相同答案来衡量.
主要成果:
- 双子座的准确度达到83.83%,一致度达到74.74% (κ=0.84).
- 笔记本LM表现出更高的准确性 (92.93%) 和完美的一致性 (100%, κ=1.00).
- 笔记本LM的优异一致性在统计学上显著 (p < 0.001),但准确性差异并不显著 (p = 0.076).
结论:
- 在NotebookLM中实现的文档接地,增强了AI的可重复性和与二分法查询的指导方针衍生决策点的对齐性.
- 笔记本LM实现了完全的账户间一致性和更高的准确性,突出了基于人工智能的工作流程的好处.
- 虽然有希望,但这些工作流程水平的结果需要在临床应用之前进行专业监督和进一步验证.
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