中文（Chinese）
影像与筛查协作平台（Imaging & Screening Workbench）是 IAMM 构建的智能影像分析与协作平台，通过 AI、数字孪生、远程阅片、云端多中心协同等技术，为临床医生、筛查团队和科研人员提供精准、高效、可追溯的影像与早筛支持。
该平台的目标是：
- 提升影像诊断的准确性与一致性
- 实现多学科、多地区的协作阅片与联合决策
- 支持大规模早筛项目（如 LDCT 肺癌筛查）
- 提供结构化报告与智能风险分层
- 为科研生成高质量影像数据库与模型训练资源
适用于肺部影像、肿瘤筛查、心血管筛查、神经影像、儿科筛查等多领域。
（1）AI 影像分析引擎（AI Imaging Analysis Engine）
平台内置多模态 AI 工具：
- 结节检测、分型、良恶性风险评估
- CT/MRI/PET-CT 结构化特征提取
- 动态对比、时间序列对照分析（Growth/Change Tracking）
- 自动生成风险等级（例如：Lung-RADS、CAD 分层等）
- 异常区域智能高亮与解读建议
提升影像阅片效率并降低漏诊率。
（2）远程阅片与多中心协作（Remote Reading & Multi-Center Collaboration）
协作台支持全球医生实时共同参与影像评估：
- 远程实时阅片（支持 XR/3D 影像呈现）
- vMDT 支持（影像可直接进入虚拟 MDT 讨论）
- 不同医院之间共享病例、对照示例
- 全程留痕的审核和共识记录
使大型筛查项目（如肺癌 LDCT）可跨地区高效开展。
（3）结构化报告与智能随访管理（Structured Reporting & Follow-up AI）
系统自动生成：
- 结构化影像报告（支持 DICOM 到文本自动转化）
- 关键影像指标与测量参数
- 随访时间表推荐（例如：3 个月/6 个月复查）
- 进展/缓解趋势自动分析图
提高随访一致性。
（4）筛查项目管理（Screening Program Management）
特别适用于政府与医院的公共卫生项目：
- 人群风险分层
- 批量影像导入与自动筛查
- 筛查路径管理（从登记→筛查→随访→复评）
- 质量控制（QC）监测模块
- 全流程可视化 Dashboard
助力实现规范化、规模化早筛。
（5）科研与数据平台（Research & Data Platform）
协作台可作为科研数据库：
- 自动生成结构化科研数据集
- 支持多中心影像数据汇聚
- AI 模型训练数据清洗与标准化
- 影像-临床数据融合分析
- 可用于 RWS、RCT、注册研究
应用AI+推动全球影像与筛查科研协作。
（6）患者赋能工具（Patient Empowerment Tools）
为患者提供可理解、可互动的影像科普体验：
- 3D 影像可视化+解释动画
- 个性化筛查建议
- 数字随访提醒
- 健康教育材料推送
- 与家庭医生的远程沟通入口
提高患者认知与依从性。
English（English Version）
The Imaging & Screening Workbench is IAMM’s intelligent platform designed for AI-enhanced imaging analysis, multi-center collaboration, and large-scale screening support. It integrates cloud-based reading, structured reporting, digital-twin analytics, and research-ready data management.
Its core purposes include:
- Improving diagnostic accuracy and consistency
- Enabling multidisciplinary and cross-regional collaborative image review
- Supporting population-level screening programs (e.g., LDCT lung cancer screening)
- Providing structured reporting and automated follow-up recommendations
- Empowering clinical research with high-quality imaging datasets
Applicable to thoracic imaging, oncology screening, cardiovascular screening, neuroimaging, pediatrics and more.
(1) AI Imaging Analysis Engine
Features include:
- Nodule detection, classification, malignancy prediction
- Automated CT/MRI/PET-CT feature extraction
- Time-series change tracking
- AI risk stratification (e.g., Lung-RADS)
- Intelligent region-of-interest highlighting with suggestions
Enhancing efficiency and reducing oversight.
(2) Remote Reading & Multi-Center Collaboration
Supports global real-time collaboration:
- Remote image reading (supports XR/3D visualization)
- Direct integration with vMDT
- Shared case repositories
- Traceable review and consensus documentation
Ideal for large-scale screening networks.
(3) Structured Reporting & Follow-up AI
Provides:
- Automated structured image reports
- Key metrics and measurements
- Follow-up timeline recommendations
- Progression/regression trend analysis
Improving follow-up quality and standardization.
(4) Screening Program Management
Designed for public health and hospital-level screening programs:
- Risk stratification
- Batch image ingestion and automated screening
- Complete screening pathway management
- Quality control monitoring
- Visualized dashboards
Supporting population-scale deployment.
(5) Research & Data Platform
For academic and clinical innovation:
- Structured datasets for AI/ML research
- Multi-center image aggregation
- Dataset cleaning and harmonization
- Integrated image–clinical fusion analytics
- Suitable for RWS, RCT and registry trials
(6) Patient Empowerment Tools
Patient-facing tools include:
- 3D imaging visualizers with explanations
- Personalized screening advice
- Automated follow-up reminders
- Educational materials
- Remote communication channels with physicians
