OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories

arXiv:2609.32810 · cs.CL, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-29

Terminology

• Benchmark — 36× in this paper · explained in 2 episodes
• Alignment — 35× in this paper · explained in 1 episode
• Fidelity — 9× in this paper · explained in 2 episodes
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Core — 7× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Grounding — 4× in this paper · explained in 3 episodes
• GRPO — 3× in this paper · explained in 6 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 2 episodes

Sources

• Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards
• Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
• MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
• What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
• MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
• Understanding R1-Zero-Like Training: A Critical Perspective
• AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
• MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

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