CyberNeuro：面向队列级神经影像与临床数据隐私保护智能体工作台
原标题：CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysis
AI 摘要
arXiv 论文介绍了 CyberNeuro，一个用于大规模神经影像和临床数据分析的隐私保护智能体工作台。它通过四个专用智能体（Planner、Validator、Dispatcher、Reporter）和本地 LLM 模型 WandaMind，支持自然语言执行复杂工作流，同时保持临床级数据隐私。在 NeuroBench 基准上，CyberNeuro 将保留域准确率从 40% 提升至 69%，并显著降低了 token 使用量。
正文节选
Computer Science > Multiagent Systems Title:CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysis View PDF HTML (experimental) Abstract:Despite tremendous success in neuroimaging methodology, making large-scale, high-dimensional datasets ready for AI/ML applications remains a critical operational bottleneck. Conventional workflows require extensive manual effort across metadata curation, pipeline execution, post-processing quality c