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AI in Healthcare Blog

Discover how Generative AI Lab empowers domain experts to run private, no-code LLM workflows, share assets securely, and cut AI costs.

Blog

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,...

Why is it hard to use clinical guidelines during patient care?  Clinical guidelines are foundational to evidence-based care, yet their length and complexity often make them impractical to consult during...

For a more in-depth exploration of AWS Health Imaging De-identification, including expanded technical details, best practices, and real-world healthcare applications, see our updated and comprehensive article: AWS Health Imaging De-identification....