评估人工智能平台作为机构审查委员会成员的决策能力
Kannan Sridharan1, Gowri Sivaramakrishnan2
1Department of Pharmacology and Therapeutics, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
概括
人工智能 (AI) 工具可以通过识别良好的临床实践 (GCP) 问题和起草标准操作程序 (SOP) 来帮助机构审查委员会 (IRB). 人类监督对于确保AI产生的IRB解决方案的准确性至关重要.
科学领域:
- 医学伦理 医学伦理
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 机构审查委员会 (IRB) 在研究提案审查中经历了显著的延误.
- 优化标准运营程序 (SOPs) 对于简化IRB流程至关重要.
- 本研究探讨了AI在应对IRB挑战和SOP开发方面的潜力.
研究的目的:
- 评估三个人工智能平台在协助IRB功能方面的能力.
- 根据良好的临床实践 (GCP) 指南,评估人工智能生成的标准操作程序的准确性.
- 确定AI在改善IRB决策和审查效率方面的潜力.
主要方法:
- 采用了观察性研究设计.
- 十个模拟IRB功能的案例研究在三个AI平台上被使用.
- 人工智能输出的准确性根据GCP指南进行了严格的评估.
主要成果:
- 人工智能工具成功识别了GCP问题,利益冲突和SOP缺陷.
- 人工智能平台提供了关于GCP违规行为的指导,并确认了弱势群体.
- 人工智能建议加快审查标准并起草标准操作程序,尽管注意到了变化.
结论:
- 人工智能平台在支持IRB决策和提高审查效率方面表现有前途.
- 人工智能可以帮助识别研究建议中的潜在合规性和伦理问题.
- 持续的人类监督是验证人工智能产生的建议和确保准确性不可或缺的.
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