De-identify clinical text instantly in your IDE. Healthcare NLP 6.3.0 adds MCP servers for secure, HIPAA-compliant PHI anonymization in Cursor and VS Code.
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...
Previously, we described how to deploy modern visual LLMs on Databricks environments at Deploying John Snow Labs Medical LLMs on Databricks: Three Flexible Deployment Options. Available options are flexible enough...
In our previous article, JSL Vision: State-of-the-Art Document Understanding on Your Hardware, we benchmarked JSL Vision against leading open-source vision-language models on FUNSD and OmniOCR In this follow-up, we address...
Tl; DR: This post explains why specialized pretrained PHI pipelines are often the best starting point for data scientists working with clinical text. Instead of building a custom PHI system...
TL; DR This post presents a focused update on large-scale clinical de-identification benchmarks, emphasizing pipeline design, execution strategy, and infrastructure-aware performance. Rather than treating accuracy as an isolated metric, we...
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