AI Co-pilot for Healthcare

Azyri - AI Medical Assistant Copilot is a cloud-ready AI-powered medical assistant designed to support healthcare professionals with diagnostics-oriented tasks, radiology insights, and API-driven integration for PACS workflows. The tool emphasizes accessibility, speed, and extensibility, offering features such as fractures detection and bone age estimation. It positions itself as a high-quality, affordable solution intended for professionals, students, and AI enthusiasts to explore medical AI capabilities. The product highlights free access for certain user groups and provides API endpoints to integrate with existing healthcare IT systems.

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How It Works

• Azyri provides AI-powered analysis endpoints (e.g., fractures detection, bone age) that can be invoked via API calls from your applications.
• The system is designed to be cloud-ready and easily pluggable into existing PACS workflows to augment physician interpretation, provide decision support, and accelerate review times.
• Developers can reference the API documentation and GitHub-hosted examples to integrate seamlessly into their pipelines.

Key Use Cases

• Fracture detection to assist radiology reviews.
• Bone age estimation for pediatric and adolescent assessments.
• Integration with cloud-based storage and processing to enable scalable healthcare analytics.
• Rapid prototyping and experimentation for medical AI use cases by students and professionals.

Getting Started

1. Access the platform via mobile or web to explore free options for professionals, students, and AI enthusiasts.
2. Use the provided API endpoints to submit medical data and receive structured responses (e.g., fracture likelihood, bone age estimates).
3. Integrate results into your PACS workflow and patient records as permitted by regulations.

Documentation and Resources

• Documentation: View on GitHub and accompanying app code snippets.
• API docs describe request formats, endpoints, and response schemas for bone age and fracture detection.
• Example usage in App.jsx shows how to post data to an AZYRI_URI endpoint and handle responses.

Safety and Legal Considerations

• This tool is for clinical decision support and educational use; it does not replace professional medical judgment. Always verify results with a licensed clinician.
• Ensure compliance with healthcare privacy regulations (e.g., HIPAA, GDPR) when transmitting patient data.
• The API may provide estimates and probabilistic assessments that should be interpreted with caution.

Getting the Most Out of Azyri

• Combine AI-assisted insights with radiologist expertise to improve diagnostic workflows.
• Use cloud-ready capabilities to scale analyses across departments or institutions.
• Leverage the free access tier to learn how AI copilots can augment clinical decision-making.

Core Features

• Fractures detection AI endpoint for radiology workflows
• Bone age estimation utilities
• Cloud-ready architecture for easy PACS integration
• Simple API access for fast integration into existing systems
• Free access options for professionals, students, and AI enthusiasts
• Documentation and GitHub resources for implementation guidance
• Extensible with plug-and-play API endpoints for other AI medical tasks