Generative AI Lab detects and masks PHI in scanned medical images and PDFs, combining AI-assisted de-identification with human review and controlled export.
Visual de-identification is the process of detecting and masking protected health information (PHI) inside scanned medical documents, images, and PDFs. PHI in visual documents can appear in printed headers, stamps,...
If you’re working on annotation projects today, you’ve likely noticed the pressure mounting. Deadlines are tighter. Quality expectations are higher. And you’re expected to do more with less — often...
Many enterprises are eager to leverage large language models (LLMs) to streamline operations and unlock new insights. From automating customer support to generating analytical reports, the promise of innovation is...
The release of Generative AI Lab 7.4 brought new features to enhance annotation and configuration, as covered in Part 1. Now, in Part 2, we explore the practical improvements that...
In LLM (Large Language Models) evaluation, a single error like a hallucination in a drug interaction summary, can cause problems. It may lead to compliance issues or delays in clinical...
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