建立对人工智能驱动的自主医疗保健系统的信任:由专家指导的框架
1Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.
Frontiers in digital health
|December 12, 2024
概括
评估人工智能 (AI) 驱动的自主系统 (AS) 的可靠性至关重要. 本研究提出了一个框架来评估AI驱动的AS在医疗保健中的可信度,基于专家的见解.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 自主系统 (AS) 越来越多地利用人工智能 (AI).
- 确保人工智能驱动的AS的安全性和可靠性是一个日益增长的社会和技术挑战.
- 对人工智能驱动的AS可信度需要客观的评估方法,特别是在医疗保健等关键领域.
研究的目的:
- 探索专家对人工智能驱动的AS在医疗保健中的可信度的观点.
- 开发一个全面的框架来评估AI驱动的AS在医疗保健环境中的可信度.
- 加强对在医疗保健领域部署人工智能驱动的AS的信心.
主要方法:
- 与领域专家进行了半结构化采访.
- 收集了关于人工智能驱动的AS可靠性的多面性质的定性见解.
- 综合了专家意见,以告知框架的发展.
主要成果:
- 在评估人工智能驱动的AS在医疗保健中的可靠性方面确定了关键因素和挑战.
- 开发了一种新的,以专家为基础的可信度评估框架.
- 为评估医疗保健中的AI提供了一个结构化的方法.
结论:
- 拟议的框架提供了一个强大的方法来评估AI驱动的AS在医疗保健中的可信度.
- 专家的见解对于开发综合性和特定上下文评估工具至关重要.
- 推进可信度评估将促进医疗保健中更安全,更可靠的AI采用.
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