algorithmic-impermeability-befe16e2·1 events·first seen Aliases: Algorithmic Impermeability
Researchers propose the Large Cancer Assistant (LCA), a model-agnostic orchestration framework for multimodal AI in oncology that decouples data ingestion, clinical routing, and AI inference via a 7-tuple architecture grounded in 'Algorithmic Impermeability.' The system uses Geometric Deep Learning to standardize multimodal patient data and outputs a Standardized Intermediate Payload (SIP) to isolate AI execution from hospital IT infrastructure. A proof-of-concept validated orchestration logic across four scenarios, demonstrating invariant routing during model swaps and 100% recall on failure-safety under injected data anomalies. The framework targets EMR interoperability and modular deployment of heterogeneous oncology AI models.