Accessing health data is a complicated process compounded by risks. Improper handling of the data makes both the research and the data owner liable. The traditional process of gaining access is slow and insecure, which impedes AI innovation.
Providing access to patient data is a risk for hospitals and other organizations. Researchers may accidentally mishandle it, resulting in costly data breaches that can impact the lives of patients and damage the reputation of the institution.
Secure AI Labs offers a platform that researchers and data owners can both leverage. Researchers can build powerful AI models, while data owners rest assured of data privacy and maintain complete ownership and control.