CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems

CRC‑Router is a risk‑constrained, uncertainty‑aware routing module designed for medical AI systems, particularly in imaging. It fuses multiple uncertainty signals with predictive scores to estimate a per‑finding wrong‑accept risk, then uses Conformal Risk Control to set acceptance thresholds that meet a user‑specified risk target. Applied to chest X‑ray triage on the NIH ChestX‑ray14 dataset, CRC‑Router outperforms baseline methods in risk–coverage trade‑off, both as a standalone layer and when integrated with the MedRAX agent, demonstrating its effectiveness and model‑agnostic compatibility.

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• agents
• efficiency
• benchmarks