Large Language Models Blog

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,...

Beyond Named Entity Recognition: A Comprehensive NLP Framework for HPO Phenotype Classification

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Gursev Pirge

Converting free-text medical descriptions into structured ontology codes with validation Human phenotypes, observable traits and clinical abnormalities like “short stature” or “muscle weakness” are crucial in diagnosing diseases, especially in...