零信任:实现生物医学人工智能研究的最后一英里

Stephen Dennis, Dr. Bob Rogers
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引用次数: 0

摘要

超过90%的生物医学人工智能研究因无法在部署前访问受保护的真实世界健康信息以完成所需的临床验证和评估而陷入停滞。人工智能预计将使患者的预后提高40%,成本提高50%,因此必须采用并利用零信任的新范式,以避免生物医学人工智能研究面临的生存危机。加入我们,了解机密计算和区块链如何满足零信任的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zero Trust: Enabling the Last Mile of Biomedical AI Research
Over 90% of all biomedical AI research is stalled due to its inability to access real world protected health information to complete the required clinical validation and valuation prior to its deployment.  With AI forecasted to improve patient outcomes by 40% and costs by 50% the new paradigm of zero trust must be adopted and leveraged to avoid the existential crisis facing biomedical AI research.  Join us and learn how confidential computing and blockchain meet the requirements of zero trust.    
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