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IntelliNode Medical
Orchestrates AI workflows for healthcare applications using a graph-based architecture.
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IntelliNode Medical provides educational examples demonstrating how multi-agent systems, orchestrated via a graph-based architecture, can be applied to healthcare and wellness scenarios. The repository includes Jupyter Notebook labs that showcase nutrition assessment using OpenAI and Anthropic models, multi-modal AI systems integrating text, image, and speech generation, and medical prediction systems using Model Context Protocol (MCP) served with a Polars backend. Note that these examples are for educational purposes only and not intended for real patient care.
API Development
Other
Data Science & ML
