AR
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数据与复现
MU
multimodal-radpath-fusion-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Fuse radiology and pathology imaging for integrated cancer phenotyping.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/multimodal-radpath-fusion-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Multimodal Radpath Fusion Agent integrates diverse clinical data sources ，涵盖 radiology imaging (CT，MRI，PET)，digital pathology whole slide images，genomic profiling，、 electronic health records ，使用 state-of- -art multimodal 深度学习 ，用于 comprehensive cancer diagnosis，treatment response prediction，、 prognostic modeling。
- When integrating radiology 、 pathology ，用于 unified tumor assessment。
- 用于 treatment response prediction ，使用 multimodal imaging。
- To predict molecular features ，面向 imaging (imaging genomics)。
- When building comprehensive prognostic models。
原始文档
SKILL.md 摘录
Core Capabilities
-
Radiology-Pathology Fusion: Integrate macro and microscopic views.
-
Imaging-Genomics Correlation: Predict molecular features from imaging.
-
Treatment Response Prediction: Multi-modal response modeling.
-
Survival Prediction: Comprehensive prognostic models.
-
Tumor Characterization: Integrate phenotype from all modalities.
-
Clinical Decision Support: AI-assisted tumor board recommendations.
Supported Modalities
| Modality | Data Type | Features Extracted |
|---|---|---|
| CT | DICOM volumes | Radiomics, deep features |
| MRI | Multi-sequence DICOM | Texture, perfusion, ADC |
| PET | SUV maps | Metabolic features |
| H&E WSI | SVS/NDPI images | Histology, spatial patterns |
| IHC | Stained slides | Biomarker quantification |
| WES/WGS | VCF | Mutations, TMB, signatures |
| RNA-seq | Expression matrix | Pathway signatures |
| Clinical | EHR data | Demographics, labs, history |
Fusion Architectures
| Architecture | Method | Best For |
|---|---|---|
| AMRI-Net | Attention fusion | Radiology focus |
| PathOmCLIP | Contrastive learning | Path-omics alignment |
| SMuRF | Swin Transformer | Multi-region integration |
| MultiModal Transformer | Self-attention | All modalities |
| GNN Fusion | Graph networks | Spatial relationships |
适用场景
- When integrating radiology 、 pathology ，用于 unified tumor assessment。
- 用于 treatment response prediction ，使用 multimodal imaging。
- To predict molecular features ，面向 imaging (imaging genomics)。
- When building comprehensive prognostic models。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- Radiomics_Pathomics_Fusion_Agent - Imaging-specific fusion
- Pathology_AI/CONCH_Agent - Pathology foundation model
- Pan_Cancer_MultiOmics_Agent - Genomic integration
- Virtual_Lab_Agent - AI research coordination
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