mlsanityData to 14 Oct 2026

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

arXiv 2609.30714 ↗First posted 25 Sep 2026cs.AIcited by 0

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Abstract (arXiv)

Agentic AI systems are increasingly being explored in medical imaging to improve throughput and reduce clinician workload; however, safe deployment remains challenging because autonomous errors may propagate into downstream clinical decisions. A central requirement is therefore not only strong predictive performance, but also a reliable routing mechanism that determines when the system should proceed autonomously and when a case should be escalated for further review. To address this gap, we propose CRC-Router, a risk-constrained, uncertainty-aware routing module that is applicable to both conventional medical prediction models and agentic medical AI systems. CRC-Router combines multiple complementary uncertainty signals with the predictive score to construct a per-finding routing feature vector, maps this vector to an estimated wrong-accept risk using a lightweight per-finding risk model, and then applies Conformal Risk Control (CRC) to calibrate acceptance thresholds under a user-specified risk target. Instantiated on chest X-ray multi-finding triage using the NIH ChestX-ray14 dataset, CRC-Router achieves the strongest empirical risk--coverage trade-off among the evaluated baselines, both as a standalone routing layer and as a plug-in module integrated with the state-of-the-art MedRAX agent. These results demonstrate both the effectiveness of CRC-Router in selective medical automation and its modular, model-agnostic compatibility with existing predictive and agentic medical pipelines. Code is publicly available at https://github.com/XLIAaron/CRC-Router

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 25 of its 28 references that are in the map. First posted on arXiv 25 Sep 2026.

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References · 25

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13 more
  1. 2022Conformal Risk Controlcited by 299
  2. 2024MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Makingcited by 163
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