OpenMed开源医疗AI

Or include REST service dependencies

uv pip install -e ".[hf,service]"

Apple Silicon acceleration in Python:

Swift apps on macOS and iOS use `OpenMedKit`. As of `1.5.1`, that means:

- **MLX** on Apple Silicon macOS and real iPhone/iPad hardware for supported OpenMed PII, OpenAI Privacy Filter, OpenAI Nemotron Privacy Filter, OpenMed Multilingual Privacy Filter, and experimental GLiNER-family artifacts
- **CoreML** when you already have a bundled Apple model package or want the fallback Apple path

Add the Swift package like this:

OpenMedKit is public and now supports native MLX runtime paths for PII token classification, Privacy Filter, and experimental GLiNER-family zero-shot tasks. The broader OpenMed model-packaging flow is still being hardened across the full collection, so treat conversion as active work rather than a fully universal public release surface.

For published releases, the editable install examples above can be replaced with plain uv pip install "openmed[...]".

Installation

```bash

Install with Hugging Face support

uv pip install -e ".[hf]"

Run with Docker

docker build -t openmed:1.5.1 .
docker run --rm -p 8080:8080 -e OPENMED_PROFILE=prod openmed:1.5.1

Quick Start

Example request

curl -X POST http://127.0.0.1:8080/pii/extract \
  -H "Content-Type: application/json" \
  -d '{"text":"Paciente: Maria Garcia, DNI: 12345678Z","lang":"es"}'

See the full service guide at REST Service docs.

Non-2xx responses now use a unified envelope:

{
  "error": {
    "code": "validation_error",
    "message": "Request validation failed",
    "details": [
      {
        "field": "body.text",
        "message": "Text must not be blank",
        "type": "value_error"
      }
    ]
  }
}

---

Advanced Usage

Configuration Profiles

```python from openmed import analyze_text

REST API

OpenMed includes a Docker-friendly FastAPI service with reliability hardening:

• GET /health
• POST /analyze
• POST /pii/extract
• POST /pii/deidentify