openmed
View on GitHubLocal-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0
OpenMed is a local-first clinical NLP SDK for medical entity extraction and PII detection and de-identification. It supports Python and mobile/browser runtimes, with model execution paths including MLX and ONNX Runtime.
Use Cases
Extract medical entities from clinical notesDetect and redact patient identifiersDe-identify clinical documents locallyRun clinical NLP on iOS and AndroidBuild local healthcare text-processing pipelinesPrepare clinical data for FHIR export
Built With
- Language
- Python
- Frameworks
- Apple MLX · ONNX Runtime · Core ML · Transformers.js · Hugging Face Transformers
Tags
clinical NLP · medical NER · PII detection · de-identification · local AI · on-device inference · healthcare · privacy · multilingual · model catalog · MCP · agent skills