评估人工智能解决方案的有效性:实用试验的作用
Mauricio F Jin1, Peter A Noseworthy2, Xiaoxi Yao2,3
1Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Mayo Clinic proceedings. Digital health
|April 10, 2025
概括
实用试验对于评估医疗保健中的人工智能 (AI) 是必不可少的. 这些试验评估AI.
科学领域:
- 医疗信息学 医疗信息学
- 临床试验设计 临床试验设计
- 人工智能在医学中的应用
背景情况:
- 数字解决方案,包括人工智能 (AI),正在改变医疗保健研究和患者护理.
- 伦理AI的实施需要在现实世界的临床环境中进行严格的评估.
- 评估包括技术性能,可用性,可接受性和健康影响.
研究的目的:
- 介绍实用试验在评估医疗保健中人工智能的概念和关键作用.
- 讨论与对人工智能评估进行实用试验相关的挑战,并提出缓解策略.
- 检查常见的实用试验设计,并提供AI试验的例子.
主要方法:
- 对实用试验及其应用于人工智能评估的文献的审查.
- 分析常见的实用性试验设计.
- 识别和讨论AI评估中的实用试验的挑战和缓解策略.
主要成果:
- 实用试验对于评估AI在常规临床实践中的健康影响至关重要.
- 进行这些试验的关键挑战包括[在摘要中没有详细说明的具体挑战].
- 现有战略可以克服这些挑战,促进强大的AI评估.
结论:
- 务实试验对于人工智能在医疗保健中的道德和有效整合是不可或缺的.
- 嵌入式实用试验对于学习卫生系统至关重要,能够实现持续改进.
- 未来的医疗保健系统将越来越依赖于对人工智能反和改进的实用试验.
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