KGARevion:面向知识密集型生物医学问答的 AI Agent
ICLR 2025 Poster。该论文提出 KGARevion,一个面向知识密集型生物医学问答的知识图谱增强 AI Agent,通过生成、验证并筛选与问题相关的知识三元组来支持医学推理与 Medical QA。
输入关键词或点击标签,按论文、数据资源、竞赛截止日期、征稿与课程缩小范围。 标签:医疗大模型与 Agent
ICLR 2025 Poster。该论文提出 KGARevion,一个面向知识密集型生物医学问答的知识图谱增强 AI Agent,通过生成、验证并筛选与问题相关的知识三元组来支持医学推理与 Medical QA。
ICLR 2026 Poster 论文,提出 MedAgent-Pro:一种面向证据型多模态医学诊断的推理 Agent 工作流。该方法围绕疾病层面的标准化计划生成与患者层面的个性化逐步推理,结合检索增强生成、医学指南对齐、视觉模型等专业工具与证据型反思机制,服务于更可靠、可解释的医学诊断推理。
Med-PaLM Multimodal evaluates a generalist biomedical AI system across medical question answering, imaging, report generation, and multimodal tasks.
Nature Medicine article describing a generalist biomedical vision-language foundation model evaluated across multiple biomedical tasks.
Nature Medicine paper on Med-PaLM 2 and expert-level medical question answering with large language models.
Medical LLM benchmark and leaderboard intended to broaden coverage beyond single medical QA datasets.
Benchmark for evaluating health AI model safety, helpfulness, and clinical-relevance judgments with physician-reviewed rubrics.
Google Health AI Developer Foundations open model resources for medical text and medical image understanding, including MedGemma 1.5 resources.