agent/papers/items/2026-2606-00922-a-machine-to-machine-knowledge-guided-llm-agent-for-generalizable-radiotherapy-t.md

Paper: A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning

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type: paper title: A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning authors: Md Mainul Abrar, Xun Jia, Yujie Chi year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.00922 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-30 updated_at: 2026-05-30 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• computer-use
• planning
• reasoning methods:

benchmarks:

models:

datasets:

• physics.med-ph
• cs.RO related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: planning-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: planning-agent
• inferred topics: agent-evaluation, agent-safety, computer-use, planning, reasoning
• arXiv categories: physics.med-ph, cs.RO
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.00922