Bridging AI & Oncology

A Northwestern University Practicum Project

Our Model

RadOncAI is implemented using a Retrieval-Augmented Generation (RAG) pipeline. Using the most up-to-date Large Language Models (LLMs), we are able to generate various AI agents using public data sources.



Sample Data Flow: RAG Pipeline (DAG)

Sample RAG Pipeline DAG

A sample DAG of the RAG pipeline is shown above.

Assistant
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