对负责任的人工智能开发和部署的全面方法
Sonya Makhni1, Jose Rico2, Paul Cerrato2
1Department of Hospital Internal Medicine, Mayo Clinic Rochester, Mayo Clinic Platform, Rochester, MN.
Mayo Clinic proceedings. Digital health
|November 24, 2025
概括
本文介绍了医疗保健中负责任的人工智能 (AI) 的新框架. 它解决了安全性,有效性和公平性的问题,以改善患者的治疗结果和效率.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 医学伦理 医学伦理
背景情况:
- 人工智能 (AI) 在医疗保健中的整合为解决护理准入,劳动力倦怠和健康不平等方面的挑战提供了机会.
- 然而,人工智能采用受到安全性,有效性和公平性方面的重大担忧的阻碍.
研究的目的:
- 提出一个新的,全面的框架,负责开发,评估和部署AI在医疗保健.
- 引导人工智能开发人员和医疗保健专业人员创建道德,有效和可扩展的AI解决方案.
主要方法:
- 拟议的框架包括四个关键阶段:人工智能解决方案设计和开发,人工智能解决方案合格,人工智能解决方案有效性和安全性评估以及人工智能解决方案影响.
- 它为操作,临床和技术质量制定了严格的标准.
主要成果:
- 该框架提供了一个结构化的方法来减轻与医疗保健中的AI相关的风险.
- 它旨在促进人工智能开发人员和医疗保健专业人员之间的合作.
结论:
- 实施这一框架可以帮助人工智能充分发挥其潜力,提高患者的治疗成果和医疗保健效率.
- 这种结构化的方法对于确保AI在医疗环境中的道德和有效使用至关重要.
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