GrantCheck-一个人工智能解决方案,用于指导授予语言到新的政策要求:发展研究研究
Qiming Shi1, Asil Oztekin2, George Matthew3
1Center for Clinical and Translational Science, UMass Chan Medical School, Worcester, MA, United States.
JMIR formative research
|November 27, 2025
概括
一个新的AI工具,GrantCheck,通过检测和建议敏感语言的替代方案,帮助研究人员遵守不断变化的拨款撰写政策. 这确保了研究的连续性,并保护了公共卫生方面的进展.
科学领域:
- 卫生政策 卫生政策
- 生物医学研究生物医学研究
- 研究中的人工智能.
背景情况:
- 由于语言政策的不断变化,学术机构面临资助撰写的挑战.
- 手动审查是劳动密集型的,可以推迟关键的研究提交.
- 需要可扩展,安全的解决方案,以确保合规性,而不损害科学完整性.
研究的目的:
- 开发一个安全的,由人工智能驱动的工具,以帮助研究人员撰写赠款.
- 确保赠款提案与当前的联邦和州政策要求保持一致.
- 在赠款撰写过程中保持科学诚信和包容性.
主要方法:
- 格兰特查克是在私有AWS虚拟私有云上开发的.
- 集成基于规则的NLP与大型语言模型通过亚马逊Bedrock.
- 混合管道检测标记条款,建议替代方案,并包括验证以防止幻觉.
- 使用系统可用性量表来评估可用性.
主要成果:
- 在检测敏感术语方面,GrantCheck实现了高性能 (F1=0.84),超过了通用模型 (例如,GPT-4o F1=0.43,Gemini 2.5 Pro F1=0.72).
- 在25名教职员工的可用性测试中,系统可用性量表的高平均得分为85.9 (SD 13.4).
- 展示了强大的用户满意度和工作流集成.
结论:
- 机构托管的人工智能系统可以支持合规,研究人员友好的赠款写作.
- 通过尽量减少政策变化造成的延迟和融资损失,确保公共卫生研究的连续性.
- 保护推进生物医学发现和健康公平的研究管道,特别是在敏感的研究领域.
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