Clinical AI Models Cannot Train on Patient Data Without HIPAA Exposure Risk
Healthcare AI development requires access to patient records for model training, but exporting raw data to external compute creates substantial HIPAA and GDPR liability. Existing federated learning and secure enclave approaches are complex to deploy in hospital environments. The gap between AI capability needs and data sovereignty requirements blocks clinical AI adoption.
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