Researchers have developed OncoAgent, an open-source framework for oncology clinical decision support that prioritizes patient privacy. The system utilizes a dual-tier LLM architecture and a multi-agent LangGraph setup, incorporating a four-stage retrieval-augmented generation (RAG) pipeline. It routes queries to either a speed-optimized 9B parameter model or a deep-reasoning 27B parameter model, both fine-tuned on extensive oncological case data using AMD hardware. AI
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IMPACT Enables on-premises deployment of advanced oncology AI, preserving patient data sovereignty and potentially accelerating guideline adherence.
RANK_REASON The cluster describes a technical preprint detailing a novel AI framework for a specific domain.
