Large Language Models Blog

How to De-identify WSI Data Using Visual NLP for SVS & DICOM | Part 2 Guide

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Aymane Chilah

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...

Beyond NLP Lab: Why Enterprises Are Upgrading to Generative AI Lab

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Oksana Meier

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,...

De-identifying Whole Slide Images with Visual NLP – Part 1

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Aymane Chilah

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...

Native LLM Evaluation Workflow with Multi-Provider Integration Generative AI Lab 7.2.0

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Oksana Meier

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...

Delivering Regulatory-Grade, Automated, Multimodal Medical Data De-Identification

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David Talby

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,...