Every healthcare AI team eventually faces the same uncomfortable question: Can you prove who accessed what, when, and why? Most can’t. Not cleanly. Not instantly. Not in the way a...
This post presents a comparative benchmark of medical Vision Language Models (VLMs) evaluated on a range of clinically relevant visual and multimodal tasks. The study focuses on assessing how well...
Every day, healthcare organizations face an impossible balancing act. Clinical teams need AI tools to extract insights from unstructured medical records, validate de-identification results, and accelerate annotation workflows. But every...
TL;DR: Working with clinical text usually means solving two problems at the same time: protecting patient privacy and keeping the information that actually matters. This article walks through new tools that...
Efficiently anonymize PHI directly within Cursor, VS Code, and Claude Code using the new Model Context Protocol integration in Healthcare NLP 6.3.0. TL;DR: John Snow Labs Healthcare NLP Release 6.3.0...
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