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Generative AI Lab Blog

Discover how regulatory-grade de-identification enhances compliance and AI readiness.

Blog

What does “regulatory-grade de-identification” mean in healthcare? Regulatory-grade de-identification refers to a comprehensive approach that transforms or removes Protected Health Information (PHI) to meet the highest standards of privacy laws,...

What is HIPAA-compliant de-identification with human-in-the-loop AI? HIPAA-compliant de-identification with human-in-the-loop (HITL) workflows combines AI predictions with structured human oversight to ensure sensitive health data is anonymized with the highest...

Protected health information (PHI) has become both a strategic asset and a growing liability. In 2024, healthcare data breaches cost organizations an average of $9.77 million, positioning healthcare as the...

For years, the NLP Lab empowered healthcare teams with a no-code platform to develop and manage AI in a secure environment. It enabled organizations to create domain-specific models, label data,...

Introduction In regulated industries such as healthcare and life sciences, the integrity, traceability, and accuracy of annotated data are paramount. From clinical trial submissions to pharmacovigilance reports, regulatory bodies require...