在心血管成像和放射学中用于AI的患者隐私和数据处理中的伦理考虑.
Saba Mehrtabar1, Ahmed Marey2, Anushka Desai3
1Tabriz University of Medical Sciences, Tabriz, Iran.
Journal of imaging informatics in medicine
|September 24, 2025
概括
医学成像中的人工智能 (AI) 改善了诊断,但也引发了关于患者隐私和数据安全的伦理问题. 负责任的AI实施需要共享问责制和强有力的治理,以建立信任和公平.
科学领域:
- 心血管成像 - 心血管成像
- 放射学 放射学是一门学科.
- 医疗人工智能 医疗人工智能
背景情况:
- 人工智能 (AI) 整合到心血管成像和放射学中,有望改善诊断和个性化护理.
- 快速采用人工智能带来了重大的伦理挑战,包括患者隐私,数据处理,同意和所有权.
- 现有的道德和法律框架努力跟上AI的发展步伐.
研究的目的:
- 审查人工智能在心血管成像和放射学中的伦理挑战.
- 从临床,技术和监管角度综合文献.
- 将国际伦理和法律框架进行比较,并提出缓解策略.
主要方法:
- 叙事审查综合现有文献.
- 伦理考虑的分析:数据实用性与保护,透明度,可解释的人工智能.
- 监管格局 (欧盟,美国,中国) 和人工智能漏洞 (云,对抗性攻击,商业数据) 的比较.
主要成果:
- 在最大化数据实用性和确保数据保护之间存在紧张关系.
- 漏洞来自于云计算,对抗性攻击和商业数据集.
- 伦理和法律框架的差异需要协调的方法.
结论:
- 伦理人工智能实施需要临床医生,开发人员,机构和政策制定者之间的共同问责制.
- 诸如联合学习,区块链和差异隐私等缓解策略至关重要.
- 通过强有力的治理和透明的数据管理,优先考虑患者的信任,公平和公平对于负责任的AI开发至关重要.
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