Paper: HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

type: paper title: "HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents" authors: Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Mingyu Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.31179 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-30 updated_at: 2026-06-30 status: queued relevance: high topics:

agent-evaluation
planning
reasoning
workflow-agent methods:

benchmarks:

models:

datasets:

cs.AI
cs.CL
cs.CV related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 20 collection_queries: agent-evaluation, ai-agent

One-line Takeaway

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

Why Collected

matched queries: agent-evaluation, ai-agent
inferred topics: agent-evaluation, planning, reasoning, workflow-agent
arXiv categories: cs.AI, cs.CL, cs.CV
collection score: 20

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?

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