What is multimodal de-identification and why is it necessary in healthcare? Healthcare data is inherently multimodal. It spans unstructured clinical notes, structured lab results, scanned PDFs, DICOM medical images, and...
Manual data labelling and slow validation trap AI projects in endless pilots and turn audit readiness into a moving target. Generative AI Lab breaks the cycle with a no-code workspace...
What is consistent obfuscation and why does it matter in healthcare? Consistent obfuscation ensures that each instance of PHI is transformed the same way across all documents and data modalities....
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,...
Formerly the NLP Summit, the Conference Evolves in its Sixth Year to Share Best Practices from Real-World Applications of Generative AI, Healthcare AI, and AI Governance John Snow Labs, the...
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