基于AI视觉的陡脉冲消融电场分布可视化分析系统
By using an AI-based visual analysis system for the distribution of electric fields in steep pulse ablation, combined with assessments of tumor tissue and vascular structures to evaluate the risk of tumor residue and metastasis, the system addresses the problem of incomplete assessment in existing technologies, thereby improving the safety and reliability of tumor ablation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING DEVON MEDICAL TECH CO LTD
- Filing Date
- 2025-10-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing steep pulse ablation assessment systems cannot fully reflect the survival and metastasis risks of tumor cells in the complex tumor microenvironment. In particular, when assessing the risk of tumor residue and metastasis, they ignore the effects of blood supply blockage and capillary lymphatic vessel damage.
A steep pulse ablation electric field distribution visualization analysis system based on AI vision is adopted. By identifying tumor tissue and vascular structures through AI vision and combining electric field distribution models, the system can quantitatively assess the risk of tumor residue and metastasis blocking effect, and generate visual feedback.
It enables precise quantitative assessment of tumor residual risk and metastasis risk, improves the safety and reliability of ablation therapy, optimizes ablation strategies, and reduces the risk of local residual disease and distant metastasis.
Smart Images
Figure CN121259883B_ABST