Computer-aided surgical planning
By acquiring surgeon preference parameters and patient anatomical parameters, the computational system determines personalized shoulder replacement surgery options, resolving the inconsistency between computerized surgical planning systems and individual surgeon preferences, and improving the system's usability and accuracy.
Patent Information
- Application Number
- CN202280013645.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2021-02-05
- Filing Date
- 2022-01-28
- Publication Date
- 2026-09-11
- Estimated Expiration
- 2042-01-28
AI Technical Summary
Computerized surgical planning systems struggle to generate shoulder replacement surgery plans that align with the preferences of individual surgeons, especially those who do not frequently perform shoulder replacement surgery. This is because a lack of sufficient training data makes training machine learning models difficult and consumes significant computational resources.
By obtaining surgeon preference parameters and patient anatomical parameters, the computational system determines personalized shoulder replacement surgery options, reducing the need for individual surgeon training models. It utilizes processing circuitry and memory to implement a surgical planning system that generates recommendations consistent with surgeon preferences.
This technology enables the generation of surgical suggestions tailored to individual surgeons while reducing storage requirements and computational resource utilization, thereby improving the practicality and accuracy of surgical planning systems.