arXiv · cs.AI · Ahmed Sameh, Gayal Kuruppu, Neeraj Wagh, Bridger Brundy, Yogatheesan Varatharajah · 2 天前模型评分37
ERIA：面向临床脑电图报告、经指令优化的智能体框架
ERIA: An Instruction-Optimized Agent for Clinical EEG Reporting
导读
ERIA（EEG Reporting and Instruction-Optimized Agent）是一个可本地部署的临床脑电图报告框架，用单个 27B 语言模型控制器调度背景异常、睡眠-觉醒状态、癫痫样活动等专用工具分析整段记录。
分类置信度
中 · 待人工复核
- 存在未解决的相邻类别：foundation-models，需要人工复核。
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “We introduce ERIA (EEG Reporting and Instruction-Optimized Agent), a locally deployable framework in which a single 27B language-model controller analyzes whole-recording EEGs by orchestrating specialized parametric and signal-processing tools.”
- “ERIA keeps the controller weights, specialist tools, and safety constraints fixed and optimizes only its natural-language analysis policy with GEPA (Genetic-Pareto), using feedback from expert-written EEG reports.”
来源：arXiv · cs.AI · arxiv.org