一个值得信赖的健康人工智能开发框架与示例代码管道
Carlos De-Manuel-Vicente1, David Fernández-Narro1, Vicent Blanes-Selva1
1Biomedical Data Science Lab, Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València (UPV), Camino de Vera s/n, Valencia 46022, España.
Studies in health technology and informatics
|October 3, 2025
概括
一个新的框架,TAIDEV,指导健康AI开发人员创建可靠的AI系统. 它确保了人工智能开发的伦理标准,稳定性和安全性,提供实用示例和检查清单.
科学领域:
- 卫生 人工智能 (AI)
- 人工智能伦理学
- 软件工程 软件工程 软件工程
背景情况:
- 医疗人工智能开发目前缺乏确保可信度的实际指南.
- 现有的一般最佳实践不足以满足健康AI的特定需求.
研究的目的:
- 引入可信的人工智能开发 (TAIDEV) 框架,为创建可信的健康人工智能系统提供实用指南.
- 为解决健康AI中的道德标准,稳定性和安全性提供结构化的方法.
主要方法:
- 开发了TAIDEV框架,其中包括一个矩阵,用于对整个AI生命周期的技术方法进行分类,以满足欧盟可靠AI的要求.
- 集成可定制的Python代码管道和验证检查清单.
- 使用两个开放数据集 (UCI心脏病,糖尿病130-美国医院) 验证了框架.
主要成果:
- 泰德维框架为开发可信的健康人工智能提供了全面的指导方针.
- 提供了实用代码示例和验证检查清单,以促进实施.
- 该框架的适用性在现实世界健康数据集上得到了证明.
结论:
- TAIDEV框架使健康AI开发人员能够构建道德,强大和安全的AI系统.
- 它作为一个可扩展的,开源资源,用于推进可信的人工智能在医疗保健.
- 该框架支持开发可靠的临床决策支持系统.
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