Privacy-preservation in medical data science has been leading for years in federated and distributed computation. With the rise of Analytics & Intelligence, and AI, more and more we are discussing bringing the AI to the data.
safest: a safeguarding analytical framework for decentralised sensitive data provided a blueprint for preseving and protecting privacy. With advancement in Cloud provision, has the world reach the capability to embrace distributed A&I and AI ?
Privacy-preservation has long been a central concern in medical data science, and frameworks like SAFEST provide important guidance for ensuring privacy in decentralized environments. The approach of "bringing AI to the data" — rather than centralizing sensitive data for training — is now more feasible than ever due to several technological and infrastructural advancements.
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