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Maziyar Panahi avatar

OpenMed

Clinical entity extraction and PII de-identification on local hardware

  • AI models and runtimes
  • Health and fitness
  • Privacy and security
View on GitHub
Website

What it is

OpenMed is a Python SDK, with Swift, Android and browser runtimes, for pulling diseases, drugs and other clinical entities out of medical text and redacting personal identifiers from it. It draws on a catalog of over 2,000 medical NER and privacy models and supports PII detection in 35 languages, running on CPU, CUDA, Apple MLX, ONNX Runtime Mobile or Transformers.js. Healthcare developers and data teams use it to de-identify clinical notes and structure them without sending records to an outside service. It also ships an MCP server, a CLI and agent skills.

Images

Facts

Stars
5,699 GitHub stars.
5,699

Forks
724
Commits
5,326
Contributors
89
Language
Python
License
Apache-2.0
Last commit
Oct 17, 2026
On GitHub since
October 2025
First release
October 2025
Platforms
web, macOS, iOS, Android, CLI, library
Self-hostable
No
Alternative to
AWS Comprehend Medical
Author
Maziyar Panahi
Tags
  • mcp-server
  • machine-learning
  • llm-inference
  • healthcare
  • local-ai

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 20, 2026
  • Bluesky“Did you have a look to OpenMed ? It gives a similar toolkit unified in a python / Swift API specialised in health use cases.”Jul 16, 2026 · 0 likes · 2 replies (opens Bluesky in a new tab)
  • Bluesky“Local #PII #HIPAA data #anonymizer based on #OpenMed and runs on #Nvidia and Apple #MLX - entirely #offline. #OpenSource Apache 2.0”Jul 10, 2026 · 2 likes · 0 replies (opens Bluesky in a new tab)
  • Bluesky“OpenMed Local-first healthcare AI that never leaves the device.”Jun 23, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)
  • Bluesky“maziyarpanahi/openmed open-source healthcare ai Local-first healthcare AI that never leaves the device Turn clinical text into structured insight with one…”Jun 13, 2026 · 0 likes · 0 replies (opens Bluesky in a new tab)