agent/papers/items/2026-2603-10492-human-ai-co-reasoning-for-clinical-diagnosis-with-evidence-integrated-language-a.md

Paper: Human-AI Co-reasoning for Clinical Diagnosis with Evidence-Integrated Language Agent

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type: paper title: Human-AI Co-reasoning for Clinical Diagnosis with Evidence-Integrated Language Agent authors: Zhongzhen Huang, Yan Ling, Hong Chen, Ye Feng, Li Wu, Linjie Mu, Shaoting Zhang, Xiaofan Zhang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.10492 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-11 updated_at: 2026-03-18 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• rag
• reasoning
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: language-agent

One-line Takeaway

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

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, agent-safety, multi-agent, rag, reasoning, workflow-agent
• arXiv categories: cs.CL
• collection score: 17

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/2603.10492