Surgical State Prediction System for Trajectory Accuracy
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Solution Overview
Problem
Conventional medical procedures lack detailed analysis and recording of individual steps, leading to variability and inefficiency, as they primarily focus on external subject features rather than internal anatomy, limiting accurate trajectory prediction and automated surgery control.
Innovation Solution
A system that captures and analyzes measurements during medical procedures to track internal and external subject structures, predicting future states and optimizing surgical paths by integrating 3D representations with augmented reality, enabling continuous instrument tracking and guidance even when external visual markers are obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional medical procedures focus on external subject features, then the procedure can be performed with simpler methods, but accurate trajectory prediction and automated surgery control are limited
Solution Approach 1:
The patent introduces a state prediction model as an intermediary component that processes current procedure states and measurements to predict future states. This mediator enables accurate trajectory prediction by bridging the gap between current observations and future surgical outcomes, allowing the system to anticipate procedural states without requiring direct complex measurements of all future states.
Solution Approach 2:
The system performs preliminary state prediction by analyzing current procedure states and measurements before the actual surgical steps are executed. By predicting future procedural states in advance, the system enables proactive surgical planning and automated control decisions, improving trajectory accuracy without requiring real-time complex interventions.
2Manufacturing precision
If detailed analysis and recording of individual surgical steps are implemented, then surgical precision and performance evaluation are improved, but data processing complexity and time requirements increase
Solution Approach 1:
The patent implements continuous state prediction and analysis throughout the surgical procedure, processing measurements and updating procedural state predictions in real-time. This continuous action ensures surgical precision is maintained throughout the procedure without requiring interruptive batch processing, thereby reducing overall data processing time while improving precision.
Solution Approach 2:
The state prediction model operates autonomously to analyze and predict procedural states without requiring manual intervention for each measurement. The system self-manages the detailed analysis of individual surgical steps, automatically processing measurements and generating predictions, which reduces the time burden on surgeons while maintaining high surgical precision.
3Reliability
If external visual markers are used for instrument tracking, then tracking can be performed with simpler methods, but tracking is interrupted when markers are obscured
Solution Approach 1:
The patent introduces a state prediction model as an intermediary that fills gaps in instrument tracking when visual markers are obscured. By predicting future instrument states based on current measurements and procedural context, the model maintains continuous tracking reliability without requiring direct visual contact with markers at all times, reducing the impact of marker occlusion.
Solution Approach 2:
The system implements feedback mechanisms where predicted states are continuously compared with actual measurements when available. This feedback loop allows the tracking system to correct predictions when markers become visible again, maintaining tracking continuity and reliability even during periods when external visual markers are obscured, without requiring fundamentally more complex hardware.
Data Source
AI summary
In variants, a method can include determining measurements of a surgical procedure, determining a set of feature states for elements depicted and not depicted within the measurements, tracking the set of features, determining a procedure step, predicting a set of future feature states based on the set of feature states and the procedure step, and performing further analyses based on the set of feature states and the set of predicted future feature states in order to facilitate measurement and improvement of a surgical procedure