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

arXiv:2609.30714 · cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/XLIAaron/CRC-Router

Terminology

• Calibration — 17× in this paper · explained in 7 episodes
• Agentic AI — 16× in this paper · explained in 1 episode
• Agentic AI systems — 9× in this paper · explained in 1 episode
• Conformal Risk Control — 9× in this paper
• Aleatoric Uncertainty — 6× in this paper · explained in 4 episodes
• Conformal Prediction — 5× in this paper · explained in 5 episodes
• Model-Agnostic — 5× in this paper · explained in 2 episodes
• Uncertainty Quantification — 5× in this paper · explained in 8 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Epistemic Uncertainty — 3× in this paper · explained in 9 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Agentic Framework — 2× in this paper · explained in 6 episodes
• Exchangeability — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Monte Carlo dropout — 1× in this paper · explained in 2 episodes
• Predictive Modeling — 1× in this paper · explained in 2 episodes
• Test-time augmentation (TTA) — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework
• Agentic Uncertainty Quantification
• Conformal Risk Control
• MedRAX: Medical Reasoning Agent for Chest X-ray
• MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
• RadFabric: Agentic AI System with Reasoning Capability for Radiology
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
• A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

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