介入手术机器人的信息提示方法、装置及存储介质
By identifying the status of multi-channel valves and medical devices, and using a neural network model to monitor the interventional surgical robot, the problems of instrument abnormalities and position monitoring in interventional surgery have been solved, thereby improving safety and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN INST OF ADVANCED BIOMEDICAL ROBOT CO LTD
- Filing Date
- 2024-12-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing interventional surgical robots are prone to unexpected instrument movement, deformation and detachment of sheath connectors, and bleeding during operation, which affect surgical safety. Furthermore, they require continuous human monitoring of the position of medical devices, leading to prolonged operation time and high labor costs.
By acquiring target images, the status of multi-channel valves and medical devices can be identified. A pre-trained neural network model can be used to monitor whether there is blood return in the valve body and whether the device has been withdrawn to the target position, and corresponding information prompts can be executed to reduce the need for manual monitoring.
It improves the safety and efficiency of interventional surgical robots, reduces surgical time and labor costs, and lowers the radiation risk for doctors.
Smart Images
Figure CN119700317B_ABST