AI Surgical Navigation System for Intervention Site Prediction
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Solution Overview
Problem
Current surgical navigation systems lack the ability to accurately predict and present the appropriate intervention site during surgery, particularly in complex procedures like brain surgery, leading to potential misalignment and increased surgical time, which can result in unnecessary tissue damage and increased physical load on patients.
Innovation Solution
A surgical navigation system that utilizes an artificial intelligence algorithm to predict and present the optimal intervention site by analyzing pre-intervention data, including medical images and patient position information, using a prediction data generation unit to output accurate intervention position information, thereby improving surgical precision and reducing patient load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a surgeon determines the intervention site based on experience with reference to medical images, then the surgeon can perform surgery, but the accuracy of intervention site determination is insufficient especially for inexperienced surgeons
Solution Approach 1:
The patent introduces an AI algorithm as an intermediary between the surgeon and the intervention site determination. The AI algorithm processes preoperative medical images and automatically predicts the optimal intervention site, serving as a mediator that eliminates the need for surgeons to rely on their experience for this specific task. This resolves the contradiction by providing accurate, experience-independent determination while maintaining surgical flexibility.
Solution Approach 2:
The system enables self-service by allowing the AI algorithm to autonomously determine the intervention site without requiring surgeon intervention or experience. The algorithm independently analyzes medical images, identifies anatomical structures, and predicts the optimal intervention location, making the determination process self-sufficient and consistent regardless of the surgeon's skill level.
2Reliability
If the intervention site is improperly determined, then additional resection procedures are required, but this increases surgical time and physical load on the patient
Solution Approach 1:
The patent applies preliminary action by using the AI algorithm to predict and determine the optimal intervention site before surgery begins. By analyzing preoperative medical images and pre-determining the precise intervention location, the system ensures that the first surgical attempt is accurate, eliminating the need for additional corrective procedures and reducing overall surgical time.
Solution Approach 2:
The system incorporates feedback by comparing the AI-predicted intervention site with actual surgical outcomes. This feedback mechanism allows the system to learn from each procedure, continuously improving the accuracy of future predictions and ensuring that the first-attempt accuracy increases over time, thereby reducing redundant procedures.
3Object-affected harmful factors
If the intervention site is improperly determined, then additional resection procedures are required, but this increases physical load and trauma to the patient
Solution Approach 1:
The patent replaces the mechanical system of manual measurement and visual estimation by surgeons with an AI-based computational system. The AI algorithm processes medical images and determines the intervention site with high precision, eliminating the variability and imprecision of manual methods. This substitution ensures accurate first-attempt interventions, reducing the need for additional procedures and minimizing patient trauma.
Solution Approach 2:
The system changes the parameters of intervention site determination by transitioning from subjective surgeon judgment to objective AI-based analysis. The AI algorithm uses multiple parameters from preoperative medical images (anatomical structures, tissue characteristics, spatial relationships) to compute the optimal intervention site, providing precise and consistent results that minimize patient trauma while eliminating the need for corrective procedures.
Data Source
AI summary
The accuracy of an intervention site in surgery is predicted and the predicted intervention site is presented to a surgeon. A surgery support apparatus includes a prediction data generation unit that generates prediction data predicting an intervention site based on data before an intervention using an artificial intelligence algorithm. The artificial intelligence algorithm is an artificial intelligence algorithm learning an intervention site by analyzing data before the intervention and intervention site data for an object, and outputs coordinates, a region, or a shape of one point of the intervention site as prediction data. Data before the intervention used for learning of the artificial intelligence algorithm and input data input to the artificial intelligence algorithm to generate prediction data correspond to image data, a segment image, a feature point, etc. The prediction data is displayed on a display apparatus together with an image of a patient acquired in advance.