核心创新Key Innovations
医疗 AI 多智能体团队The Medical AI Multi-Agent Team
影像、病理、基因、健康报告等多源数据分别由专科智能体分析，主管智能体汇总，最终由"主任医师推理智能体"结合医疗知识库、知识图谱与专家私域知识，输出诊疗辅助决策方案。
Imaging, pathology, genomics, and health-record data are each analyzed by specialist agents, synthesized by supervisor agents, and reasoned over by a "chief-physician agent" grounded in medical knowledge bases, graphs, and expert private knowledge — producing decision-support recommendations.
多智能体 MDT 会诊框架Multi-agent MDT framework
基于多智能体框架的 AI 多学科团队：诊断智能体 + 影像智能体 + 病理智能体 + 基因智能体组合，支持按医院需求定制专属团队（如肿瘤、心血管多智能体团队），分工协作、高效输出。An AI multidisciplinary team of diagnosis, imaging, pathology, and genomics agents — customizable per hospital (e.g., oncology or cardiovascular teams) for efficient, divided collaboration.
专家算法与专用工具Expert algorithms & tools
专家智能体集成专业医疗算法，内置核心临床算法，解决影像与病理领域痛点。Expert agents integrate specialized medical algorithms, with built-in clinical algorithms targeting imaging and pathology pain points.
LLM 增强医疗知识库LLM-enhanced knowledge base
智能分块与增强归类，向量知识库与知识图谱融合（Vector + Graph），语义理解与检索精度更高；同步 PubMed 文献库与美国医学教材库，支持专科定制与个人专属知识库。Intelligent chunking plus Vector + Graph fusion for higher retrieval accuracy; synced PubMed and US medical-textbook libraries, with specialty and personal knowledge bases.
专科医生思维链（CoT）Specialist chain of thought
将专科医生的推理思维链嵌入推理智能体，强化学习模拟真实诊疗推理逻辑，降低误诊风险。Specialist physicians' reasoning chains are embedded into reasoning agents and reinforced to mirror real diagnostic logic — reducing misdiagnosis risk.
主动学习智能体Actively learning agents
反思与记忆重组：真正的学习是筛选与组织——每次任务后修剪并重构记忆，构建本体思维导图，持续进化。Reflection and memory reorganization: true learning is filtering and organizing — pruning and restructuring memory after each task, building ontology mind maps.
DeepResearch 医学科研智能体DeepResearch for medical research
构建全流程科研辅助系统，解决"任务重、周期长"的痛点：智能任务分解、多源并行收集、结果综合，输出结构清晰、逻辑连贯的科研报告（含数据图表）。An end-to-end research assistant: task decomposition, parallel multi-source collection, and synthesis into clear, coherent research reports with charts.
