临床研究招聘中的自然语言处理:与利益相关者的见解丰富的范围审查
Lara Bernasconi1, Georg Avakyan2, Frédérique Hovaguimian3
1Doctoral student in biomedical ethics and law at the University of Zurich and University Hospital Zurich.
Ethics & human research
|September 27, 2025
概括
临床试验招聘中的自然语言处理 (NLP) 正在出现,但伦理方面的考虑被低估. 需要更多的研究和指导方针来负责任地实施这些人工智能工具.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床试验管理 临床试验管理
背景情况:
- 自然语言处理 (NLP) 提供了优化临床试验招聘的潜力.
- 在医疗保健中围绕人工智能的伦理考虑越来越重要.
- 目前的文献缺乏对临床试验NLP的伦理方面的全面分析.
研究的目的:
- 在临床试验招聘中描述NLP应用.
- 探索利益相关者对这个领域的NLP技术的观点.
- 确定与患者自主权和公平相关的伦理考虑.
主要方法:
- 来自Ovid Medline的英语文章的范围审查 (2021年1月至2024年6月).
- 提取关于NLP系统特征,评估和伦理问题的数据.
- 与多学科专家进行半结构面试的专题分析.
主要成果:
- 47篇文章有资格,主要关注用于电子健康记录查的NLP模型.
- 文献中强调的是模型的准确性和效率,对伦理问题的关注有限.
- 采访显示,需要进行道德反思,实施分析,以及对匿名化和同意的不同看法.
结论:
- 对于临床试验招募的NLP应用是新生的,在伦理话语和已发表的研究之间存在着显著的差距.
- 在整个NLP生命周期中,需要关于伦理实施和报告的实际指导方针.
- 需要经验研究来评估NLP工具在临床研究中的现实世界的伦理影响.
关键词:
人工智能伦理学匿名化 匿名化 匿名化人工智能 (AI) 是一种人工智能.临床研究是临床研究.同意同意同意同意同意同意同意同意股权资本 股权资本自然语言处理 (NLP)患者的自主权患者的自主权患者招募 患者招募更多相关视频
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