主动知情同意促进机器学习在医学中的应用
Active Informed Consent to Boost the Application of Machine Learning in Medicine
摘要：
机器学习可能会将精准医学的研究推向前所未有的高度。为了取得成功，机器学习需要大量数据，通常包括个人数据。因此，应用于精准医疗的机器学习正处于悬崖边上：如果不学会飞，就会深深地摔下去。在本文中，我们将主动知情同意（AIC）作为一种新型的混合法律技术工具，以促进为机器学习收集大量数据。我们仔细分析了这种技术工具对保护欧洲公民隐私的法律复杂性的遵守情况。
英文摘要：
Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including personal data. Therefore, machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine learning. We carefully analyzed the compliance of this technological tool to the legal intricacies protecting the privacy of European Citizens.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
