对算法进行调整. 与基于人工智能的结核病检测在全球卫生中的技术政治问题相关.
Pierre-Marie David1,2, Julien Onno1,2, Jessica Pourraz3
1Faculty of Pharmacy, University of Montréal, Montréal, Canada.
Digital health
|April 17, 2024
概括
人工智能 (AI) 结核病计算机辅助检测 (CAD) 工具有希望,但需要当地适应. "调整"这些算法突出了用户的担忧和政治问题,这些问题对于有效的全球卫生部署至关重要.
科学领域:
- 全球健康 全球健康
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 使用人工智能 (AI) 的计算机辅助检测 (CAD) 算法正在开发用于结核病 (TB) 检测.
- 这些工具通常被提出为结核病流行地区的标准化全球解决方案.
研究的目的:
- 分析基于人工智能的CAD算法标准化与当地适应需求之间的紧张关系.
- 探索这些紧张局势对结核病检测的政治影响.
主要方法:
- 在不同环境中对与结核病检测算法相关的实践进行定性分析.
- 来自参与CAD实施的各个利益相关者的对比观点.
主要成果:
- 人工智能CAD算法通过自动化提供标准化,旨在减少人类的变化.
- 当地实践,称为"调整",揭示了算法如何定位和适应.
- 调整突出了用户对整合到护理,基础设施控制和政治所有权的担忧.
结论:
- 人工智能CAD算法的"调整"对于理解它们的位置性质和用户关注点至关重要.
- 解决这些地方适应和政治问题对于实现CAD在全球结核病管理中的创新潜力至关重要.
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