AI与区块链融合提升医疗物联网信任与可靠性
Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions
- 结合AI诊断与区块链安全，构建可信医疗数据系统
- 解决可扩展性、隐私保护与伦理问题，增强系统可靠性
- 适合医疗信息化、安全合规及智能诊疗研究者参考
本文批判性回顾了人工智能（AI）与区块链技术在医疗物联网（MedIoT）应用中的融合，二者共同有望革新医疗服务。通过分析现有研究，强调了AI在提升诊断与患者护理方面的潜力，以及区块链在强化数据安全与患者隐私方面的能力。重点聚焦于建立系统信任与确保可靠性的重要性。综述提出创新的数据管理方案，并指出在可扩展性、隐私保护和伦理实践方面的挑战。展望未来，提出将AI洞察与区块链安全保障相结合的愿景，全面梳理当前研究进展与未来方向。最后识别出若干关键研究空白，强调填补这些空白对实现可靠、安全、以患者为中心的下一代MedIoT应用至关重要。
原文摘要 · Abstract (English)
This paper critically reviews the integration of Artificial Intelligence (AI) and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize healthcare delivery. By examining current research, we underscore AI's potential in advancing diagnostics and patient care, alongside blockchain's capacity to bolster data security and patient privacy. We focus particularly on the imperative to cultivate trust and ensure reliability within these systems. Our review highlights innovative solutions for managing healthcare data and challenges such as ensuring scalability, maintaining privacy, and promoting ethical practices within the MedIoT domain. We present a vision for integrating AI-driven insights with blockchain security in healthcare, offering a comprehensive review of current research and future directions. We conclude with a set of identified research gaps and propose that addressing these is crucial for achieving the dependable, secure, and patient -centric MedIoT applications of tomorrow.
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