arXiv AI
BioMed-Agent-RL: A Meta Learning, All You Need for Biomedical Applications
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An AI agent for treatment reasoning over a biomedical tool universe
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ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
arXiv:2608. 07418v1 Announce Type: new Abstract: In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of feedback and progressively greater autonomy.
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Teaching agentic AI to learn expert reasoning for rare disease diagnosis
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CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation
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The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
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VentAgent: When LLMs Learn to Breathe -- Multi-Objective Arbitration for ARDS Ventilation
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