融合AI与区块链提升医疗数据安全，应对日益严峻的隐私泄露问题。
The Integration of Blockchain and Artificial Intelligence for Secure Healthcare Systems
- 结合AI与区块链构建医疗数据保护新框架。
- 2022年美国医疗数据泄露事件达1820万条记录，凸显安全需求。
- 适合关注医疗信息安全、智能系统集成的研究者与从业者。
Verisign报告称，2022年美国医疗行业数据泄露事件同比增加125%，影响患者记录达1820万条。随着医疗数据量激增和多样化，信息价值不断提升。多家医疗中心采用多种技术实现大数据的分类、存储与交换，但同时也使用户数据面临风险。人工智能（AI）与区块链作为前沿技术，可显著提升数据驱动运营效率并降低医疗成本。本研究回顾2008年以来区块链与AI在医疗系统中的融合进展，分析基于机器学习、深度学习及不同区块链架构的AI医疗应用方案。研究表明，该技术组合能有效保障患者数据安全，提升医疗信息管理效能，为医疗机构与患者提供双赢解决方案。2018至2021年间，2021年相关研究产出最多，通过文献检索、专家访谈与大型科研项目评审综合评估。
原文摘要 · Abstract (English)
Verisign reported a 125 percent increase in data breaches within the healthcare sector in the United States during 2022, with 18.2 million patient records being impacted. Growing healthcare data volumes and diversification mean that medical information is becoming more valuable. Many Health Centers use various technologies to ease the classification, storage, and exchange of big data. This use can also make the health data of the users at risk and vulnerable. AI and blockchain are among the leading technologies at hand. With AI, data-driven operations and big data efficiency have been improved with respect to traditional techniques. Due to its potential to bring about improvements in health services and lower medical costs, this AI technology is regularly used in healthcare. Blockchain helps protect transactions on sharing information and private privacy as long as the exchange of knowledge is that of the standard. The objective of this analysis is to investigate the research and unique contributions since 2008 regarding blockchain-integrated AI and healthcare systems. The work sheds light on applied AI-based healthcare schemes with machine, ballistic, and acrylic learning and disparate blockchain structures. The use of technology in order to ensure patient data security and manage medical information effectively in healthcare settings offers a highly successful position for both healthcare providers and patients. From 2018 to 2021, the best year was 2021 to grow, enhancing everything to examine the download of the device and the counting of Google Academies, for which the joining perspective was borrowed; local research experts were asked, identified articles in recent years, and read reviews of large research grants.
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