医疗保健中的道德人工智能:整合零知识证明和智能合约,实现透明的数据治理
Mohamed Ezz1, Alaa S Alaerjan1, Ayman Mohamed Mostafa2
1Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia.
Bioengineering (Basel, Switzerland)
|November 27, 2025
概括
MediChainAI提供了一个安全的框架,用于使用自主主权身份 (SSI) 和区块链拥有患者数据. 这确保了医疗保健中AI/ML的隐私和受控的数据共享.
科学领域:
- 医疗信息学 医疗信息学
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 将人工智能 (AI) 和机器学习 (ML) 整合到医疗保健中,有望改善患者护理,但在机密患者数据安全性和隐私方面面临挑战.
- 当前的数据处理实践引发了对数据真实性,安全性和患者隐私的担忧,阻碍了AI/ML在医学上的道德发展.
研究的目的:
- 引入MediChainAI,一个新的框架,确保患者拥有健康数据的权利和隐私.
- 为AI/ML模型培训提供安全和选择性的数据共享,同时保持数据完整性和患者保密性.
主要方法:
- 自主主权身份 (SSI) 的整合,以获得患者数据的所有权.
- 利用区块链技术进行透明和安全的数据管理.
- 实施Merkle树来验证对数据子集的访问,以及基于智能合约的加密来控制数据访问.
主要成果:
- 患者可以完全控制自己的健康数据,从而可以选择性地与提供者和研究人员分享.
- 该框架通过加密技术和区块链透明度确保数据真实性和隐私.
- MediChainAI促进使用经过验证的合法数据来训练AI/ML模型,提高诊断准确度.
结论:
- 在AI/ML时代,MediChainAI提供了一个安全,以患者为中心的解决方案,用于管理健康数据.
- 该框架解决了数据安全,隐私和真实性的关键问题,促进道德医疗保健创新.
- 这种方法代表了朝着更安全,更个性化,更值得信赖的人工智能驱动的医疗保健解决方案的重大进步.
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