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Multimodal AI Blog

Build AI Models That Learn from Text, Images, and Audio Together.

Automated De-identification of SVS and DICOM Whole Slide Images Using Visual NLP As discussed in Part 1, Whole Slide Images (WSI) in formats like SVS and DICOM often contain Protected...

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,...

What to Know Before De-identifying Whole Slide Images (WSI) Discover the low-level, hands-on steps of de-identifying SVS and DICOM medical images using Visual NLP, focusing on PHI hidden in metadata...

Generative AI Lab 7.2.0 introduces native LLM evaluation capabilities, enabling complete end-to-end workflows for importing prompts, generating responses via external providers (OpenAI, Azure OpenAI, Amazon SageMaker), and collecting human feedback...

The Challenges of Regulatory-Grade De-Identification at Scale  Healthcare organizations face a critical dilemma: vast volumes of patient data: free-text notes, structured fields, clinical images, even audio/video are invaluable for research,...