在放射学时代保持患者数据安全 人工智能:网络安全考虑和未来方向
Chintan Shah1, Douglas Nachand2, Christoph Wald3
1Associate Staff, Section of Neuroradiology and Section of Imaging Informatics, Safety, Improvement, Quality and Experience Officer-Neuroradiology, Department of Radiology, Imaging Institute, Cleveland Clinic, Cleveland, Ohio.
Journal of the American College of Radiology : JACR
|July 24, 2023
概括
放射学中的人工智能 (AI) 存在网络安全风险. 这篇文章使用中央情报局三位一体来研究这些风险,并提供安全部署人工智能的检查清单.
科学领域:
- 医学成像信息学 医学成像信息学
- 医疗保健中的网络安全
背景情况:
- 人工智能 (AI) 越来越多地被整合到放射学工作流程中.
- 人工智能实施引入了新的网络安全风险和挑战.
研究的目的:
- 检查与放射学中的AI相关的网络安全问题.
- 通过机密性,诚信和可用性 (CIA) 三位一体框架来分析这些问题.
主要方法:
- 审查AI实施配置和开发方法对网络安全的影响.
- 分析AI对数据保密性,完整性和可用性的潜在影响.
- 检查AI对整体网络安全攻击表面的影响.
主要成果:
- 人工智能实施会影响数据安全和机密性.
- 人工智能可以影响数据完整性和可用性.
- 人工智能集成扩大了网络安全攻击面.
结论:
- 对网络安全风险的认识和减轻对于在放射学中安全部署AI至关重要.
- 为了解决安全考虑,提供了部署前的检查清单.
- 未来的AI进步可能会为一些安全问题提供解决方案.
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