涉及人工智能的放射学部门的网络安全考虑
Brendan S Kelly1,2,3, Conor Quinn4, Niamh Belton5
1Department of Radiology, St Vincent's University Hospital, Dublin, Ireland. brendanskelly@me.com.
European radiology
|July 7, 2023
概括
在放射学人工智能 (AI) 项目中,网络安全威胁正在增加. 本综述为医疗保健专业人员和设备制造商介绍了AI特定的网络安全挑战和风险减轻策略.
科学领域:
- 医学成像和人工智能 医学成像和人工智能
- 医疗保健中的网络安全
背景情况:
- 在放射学AI项目中整合医疗设备,无线技术和数据仓库,扩大了网络安全风险.
- 虽然放射科医生擅长图像解释,但他们可能缺乏对AI特定网络安全威胁的认识,这是医疗保健中日益关注的问题.
研究的目的:
- 引入与医学成像和放射学AI相关的网络安全概念.
- 提供一般和医疗保健特定的网络安全挑战的背景.
- 通过检测,预防和技术解决方案讨论加强安全的战略.
主要方法:
- 审查一般的网络安全概念和监管问题.
- 在放射学AI的背景下检查网络安全,重点关注数据,培训,实施和可审计性.
- 识别潜在的风险减轻策略.
主要成果:
- 放射性人工智能项目面临复杂的网络安全风险,因为威胁的普遍性增加.
- 从其他行业可以吸取教训,这些行业已经推进了他们的网络安全措施.
- 该审查概述了检测和预防技术以及改善安全的技术解决方案.
结论:
- 医疗保健提供者,研究人员和设备开发人员需要更好地了解放射学AI网络安全风险.
- 实施有效的网络安全策略对于减轻人工智能驱动放射学风险至关重要.
- 本综述提供了提高安全性和减少与放射学AI项目相关的潜在风险的见解.
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