发表机构
Zhejiang University; Shanghai Jiao Tong University; Angelalign Technology Inc.; Peking University; Tsinghua University（浙江大学; 上海交通大学; 时代天使科技有限公司; 北京大学; 清华大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对现有牙科AI系统模态或任务局限及证据不可追溯问题，提出以证据为中心的多智能体框架DentAgent，经四个基准测试，其多标签诊断性能超越资深专家17.3个百分点，可用于多模态牙科推理及人群口腔健康评估。
AI 中文摘要
口腔疾病影响全球数十亿人，凸显对整合领域知识、X光片、口腔内照片及3D牙科数据等异质证据的准确可靠牙科评估的迫切需求。现有多数牙科AI系统仍局限于单一模态或特定任务，尽管近期视觉-语言模型支持灵活的牙科问答，但其直接生成的回应使证据隐含且不可追溯。为解决这些局限，我们提出DentAgent，一个以证据为中心的多智能体框架，其中协调器（Orchestrator）统筹涵盖各模态的五个专业智能体，每个专业智能体利用领域工具将观测结果转换为结构化证据记录；证据黑板（Evidence Blackboard）将这些记录作为共享证据状态管理，在生成回应前追踪覆盖范围、缺口与冲突。这种标准化证据表示将孤立的牙科能力整合为统一的智能体工作流。在四个基准测试中，DentAgent展现领先性能，甚至在多标签诊断上超越资深专家17.3个百分点，这印证了其对广泛适用且可追溯的多模态牙科推理的价值，并凸显其作为人群口腔健康评估与管理技术基础的潜力。
英文摘要
Oral diseases affect billions of people worldwide, underscoring a pressing need for accurate and reliable dental assessment that integrates heterogeneous evidence from domain knowledge, radiographs, intraoral photographs, and 3D dental data. Most existing dental AI systems remain modality- or task-specific. Although recent vision-language models support flexible dental question answering, directly generated response leaves evidence implicit and untraceable. To address these limitations, we introduce DentAgent, an evidence-centric multi-agent framework, in which the Orchestrator coordinate five specialized agents spanning various modalities. Each specialist utilizes domain tools to convert observations into structured evidence records. The Evidence Blackboard manages these records as a shared evidence state, tracking coverage, gaps, and conflicts before response generation. This standardized evidence representation integrates isolated dental capabilities into a unified agentic workflow. Across four benchmarks, DentAgent demonstrates leading performance, even surpassing the senior specialists by 17.3 percentage points on multi-label diagnosis, which supports its value for broadly applicable and traceable multimodal dental reasoning, and highlights its potential as a technical foundation for population oral health assessment and management.
