Everything you need to integrate MediFusion AI into your healthcare applications.
Full-featured Python library for server-side integrations, data pipelines, and backend services.
# Install the SDK pip install medifusion-ai # Quick start from medifusion import MediFusion client = MediFusion(api_key="your-api-key") # Get patient data patient = client.patients.get("patient-123") # Run AI diagnostics diagnosis = client.ai.diagnose( symptoms=["fever", "cough"], patient_id=patient.id )
Native SDKs for iOS and Android to build healthcare apps with embedded AI capabilities.
// Swift (iOS) import MediFusionSDK let client = MediFusion(apiKey: "your-key") // Analyze medical image client.vision.analyze(image: xrayImage) { result in switch result { case .success(let findings): print(findings.summary) case .failure(let error): print(error) } }
Standards-compliant FHIR R4 API for interoperability with EHR systems and health information exchanges.
Comprehensive REST API with OpenAPI 3.0 specification for any language or platform.
# Example API call with curl curl -X POST https://api.medifusion.space/v1/ai/diagnose \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "symptoms": ["headache", "fever"], "patient_age": 35, "patient_sex": "female" }'
Sign up at medifusion.space/signup and verify your email.
Navigate to Settings → API Keys in your dashboard and generate a new key.
Choose your preferred SDK or use our REST API directly.
Follow our tutorials and build your first integration!
Our developer support team is here to help you succeed.