"OncoAgent: A Dual-Tier Multi-Agent Framework for Privacy-Preserving Oncology Clinical Decision Support"

OncoAgent is a new dual-tier multi-agent framework designed to support oncology clinical decisions while preserving patient privacy. It leverages multiple AI agents to analyze medical data securely without exposing sensitive information. This approach aims to improve cancer treatment recommendations with enhanced data protection.

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PublishedSaturday, May 9, 2026 at 8:09 PMMay 9, 08:09 PM

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A Blog post by Lablab.ai AMD Developer Hackathon on Hugging Face

We present OncoAgent, an open-source, privacy-preserving clinical decision support system for oncology. OncoAgent combines a dual-tier fine-tuned LLM architecture with a state-of-the-art multi-agent LangGraph topology, a four-stage Corrective RAG pipeline over 70+ physician-grade NCCN and ESMO guidelines, and a three-layer reflexion safety validator enforcing a strict Zero-PHI policy.

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"OncoAgent: A Dual-Tier Multi-Agent Framework for Privacy-Preserving Oncology Clinical Decision Support"

Original article excerpt