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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

Radiology is central to modern healthcare, yet its rapid growth in imaging volume has strained clinical workflows and introduced variability in diagnostic interpretation. Recent advancements in artificial intelligence, particularly in...

What is regulatory-grade de-identification in healthcare? Regulatory-grade de-identification refers to the process of systematically transforming or removing Protected Health Information (PHI) to comply with laws like HIPAA and GDPR. It...

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,...

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,...