MammoClaw: Towards Skill-Evolving Agent Harness for Breast Cancer Mammography Analysis

arXiv:2609.31789 · eess.IV, cs.CV · Submitted 2026-09-25 · Read on arXiv

eess.IV, cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Project page: https://krishnakanthnakka.github.io/mammoclaw

Terminology

• Adaptation — 5× in this paper · explained in 1 episode
• Failure Modes — 5× in this paper · explained in 3 episodes
• Agent Harness — 4× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Agentic Approaches — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Self-Evolving Agents — 1× in this paper · explained in 2 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images
• Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting
• PathVQA: 30000+ Questions for Medical Visual Question Answering
• PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
• SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
• MediX-R1: Open Ended Medical Reinforcement Learning
• RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
• ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning
• SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
• ReAct: Synergizing Reasoning and Acting in Language Models
• RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows

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