Surgical Outcome Prediction Using Registered Image Differences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing surgical planning systems lack the ability to accurately predict surgical outcomes based on preoperative and postoperative images, leading to potential inaccuracies in instrument placement and tool selection, which can affect the effectiveness of surgical procedures.
Innovation Solution
A method and system that utilize image registration and artificial intelligence to measure differences between preoperative and postoperative images, generating a function to predict surgical outcomes and guide adjustments to surgical plans, including tool and instrument selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgical planning is based on surgeon preference and patient parameters without AI prediction, then the surgical plan can be created quickly, but the accuracy of predicting surgical outcomes is poor
Solution Approach 1:
The system performs preliminary actions by registering postoperative images to preoperative images and automatically measuring differences before the actual surgery. This creates a predictive model in advance that estimates surgical outcomes, allowing surgeons to evaluate potential results before committing to a surgical plan. The preliminary measurement of actual vs. planned differences from previous surgeries forms the basis for outcome prediction.
Solution Approach 2:
The system implements feedback by using the measured differences between preoperative and postoperative images to generate predictive functions. These predictions are then fed back into the surgical planning process, allowing surgeons to see estimated outcomes and adjust their plans accordingly. The system continuously refines predictions by incorporating actual surgical results from previous procedures.
2Manufacturing precision
If traditional surgical planning methods are used without image registration and AI analysis, then the workflow remains simple, but instrument placement accuracy cannot be optimized
Solution Approach 1:
The system replaces manual mechanical measurement and visual assessment with automated image registration and AI-driven analysis. The processor automatically registers postoperative images to preoperative images, identifies anatomical features, and measures differences without manual intervention. This substitution of automated computational methods for manual processes enables precise instrument placement prediction while managing processing time through efficient algorithms.
3Reliability
If no predictive function is generated from training data, then the system remains simple to operate, but the ability to predict and improve surgical outcomes is lost
Solution Approach 1:
The system performs self-service by automatically generating predictive functions from training data without requiring manual programming or complex configuration. The processor autonomously registers images, measures differences, generates training datasets, and creates predictive models. This self-service capability allows the system to improve reliability while maintaining ease of operation, as the complexity is handled automatically without user intervention.
Data Source
AI summary
Systems and methods for predicting surgical outcomes are provided. A surgical plan comprising information about a planned surgery and at least one preoperative image depicting a planned surgical result and at least one postoperative image depicting an actual surgical result resulting from execution of the planned surgery may be received. The postoperative image may be registered to the preoperative image. One or more features may be automatically identified in each of the postoperative image and the preoperative image. A difference may be automatically measured in at least one parameter of each of the one or more features to yield training data. A function for predicting the difference may be generated using artificial intelligence and based on the training data. The function may be applied to an unexecuted surgical plan.