OpenMed is an open-source healthcare AI toolkit with 1,000+ healthcare LLM/NLP models, biomedical named-entity recognition, PII extraction and de-identification, a Python/MLX runtime, Dockerized FastAPI service, and Swift-native OpenMedKit. The official site emphasizes local-first deployment on Apple Silicon, devices, VPCs, on-prem servers, or air-gapped hardware, with no runtime telemetry or outbound calls by default.
Features
- 1,000+ healthcare LLM/NLP models
- Biomedical named-entity recognition
- PII extraction and de-identification
- Python MLX and Swift OpenMedKit
- Docker/FastAPI deployment
- Apache-2.0 open-source license
Use Cases
- Clinical text structure extraction
- PHI/PII de-identification
- Medical document processing
- On-device healthcare AI inference
- Medical NLP model evaluation
- Building HIPAA-aligned technical controls
FAQ
OpenMed is an open-source healthcare AI toolkit with 1,000+ healthcare LLM/NLP models, biomedical named-entity recognition, PII extraction and de-identification, a Python/MLX runtime, Dockerized FastAPI service, and Swift-native OpenMedKit. The official site emphasizes local-first deployment on Apple Silicon, devices, VPCs, on-prem servers, or air-gapped hardware, with no runtime telemetry or outbound calls by default. Core capabilities include: 1,000+ healthcare LLM/NLP models, Biomedical named-entity recognition, PII extraction and de-identification.
Common scenarios include: Clinical text structure extraction, PHI/PII de-identification, Medical document processing.
