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本文介绍了 OncoAgent,这是一种专为肿瘤学隐私保护临床决策支持设计的双层多智能体框架。文章详细阐述了结合修正型 RAG、反思安全循环以及针对 AMD 硬件优化的双层 QLoRA 微调的系统架构。
本文提出了一种随机因果表征学习框架,以解决个性化医疗中的偏差-精度悖论,并证明了其在重症监护室(ICU)临床决策支持中提高了准确性和可解释性。
The author uses an AI agent to analyze 8 years of his mother's hypertension records, identifying morning surges and drug interactions that were missed during brief hospital visits, highlighting AI's role in bridging gaps in chronic care continuity.
Google DeepMind 宣布启动 AI 联合临床医生研究计划,旨在通过"三方协同诊疗"改善医疗服务——即 AI 智能体在医生监督下协助患者。该系统在一项初级医疗咨询研究中展现出高准确率且零严重错误,表现优于现有循证综合工具。