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

OncoAgent is an open-source, privacy-preserving clinical decision support system tailored for oncology, leveraging a dual-tier multi-agent framework to enhance clinical decision-making while maintaining patient data sovereignty. It features a dual-tier architecture, using a speed-optimized 9B parameter model for simpler queries and a deep-reasoning 27B parameter model for complex cases, both trained on a comprehensive dataset of real and synthetic oncological cases. The system employs a Corrective Retrieval Augmented Generation (RAG) pipeline to ensure recommendations are grounded in physician-grade guidelines and incorporates multiple safety layers, including a reflexion safety loop and human-in-the-loop (HITL) validation, to prevent hallucinations and ensure reliability. Hosted on AMD Instinct MI300X hardware, OncoAgent eliminates the need for proprietary cloud services, thus adhering to stringent privacy regulations like HIPAA and GDPR. This system represents a significant advancement in deploying scalable, reliable, and privacy-compliant AI solutions in clinical environments, demonstrating that state-of-the-art clinical AI can be achieved without reliance on proprietary infrastructure.