在医疗保健自主系统中对负责任的AI进行验证的框架
1Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, 1988, Saudi Arabia. tnalelyani@nu.edu.sa.
Scientific reports
|December 19, 2025
概括
一个新的框架指导了人工智能 (AI) 在医疗保健中的安全整合. 这个经过验证的工具解决了可靠性和伦理方面的问题,为在临床和监管环境中采用AI提供了可行的指导.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 人工智能 (AI) 在医学中的应用
- 临床信息学是一种临床信息学.
背景情况:
- 基于人工智能的自主系统在医疗保健中面临采用障碍,原因是可靠性和安全性问题.
- 现有的概念工作需要经验验证,以便在临床和监管环境中实际应用.
研究的目的:
- 引入和经验验证一个完善的框架,以确保人工智能在医疗保健中的安全和负责任的整合.
- 为临床医生,开发人员,监管机构和采购机构提供可操作的指导.
主要方法:
- 通过与15名来自不同领域 (临床,技术,伦理,监管) 的专家进行半结构面试,开发了一个初始框架.
- 通过使用定量评级和定性反,与10名新参与者验证了框架.
- 确保与ISO 21448和NISTAI风险管理框架等国际标准保持一致.
主要成果:
- 在验证过程中,改进的框架在相关性,清晰性和可用性方面获得了高分.
- 参与者强烈支持该框架对负责任的人工智能采用的实际实用性.
- 该框架包括技术,道德和运营类别的十个维度.
结论:
- 经过验证的框架提供了一个结构化的工具,用于评估和监测医疗保健中的自主人工智能系统.
- 它解决了诸如数据质量,可解释性,公平性和人类-AI合作等关键问题.
- 该框架促进了人工智能的负责任整合,克服了临床和监管环境中的采用障碍.
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