openmed

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Local-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

★ 5.4K695 forksPythonApache-2.0maziyarpanahi

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

openmed

Use Cases

Built With

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