Collaboration and Privacy
Using Secure AI Labs’ Federated Learning, researchers can use rich data from many sources to improve models for patient care and cures without having to move or expose data. Additionally, hospitals have full control of how their data is used and accessed.
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Enabling AI-driven health advances without sacrificing patient privacy
Data aggregated outside of hospital walls poses a risk to patient privacy. It is no longer controlled or protected by the hospital and could be distributed without permission effectively being lost.
Secure AI Labs Enterprise Solution
Data is kept within hospital infrastructure while researchers send algorithms and models to the hospital. SAIL helps to manage and run the computations while the hospitals control data access.