Surgery Support System Real-Time Complication Risk Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional surgery support systems only add metadata for editing surgery videos after the surgery, limiting the further utilization of surgery images and failing to provide real-time support for potential surgical complications.
Innovation Solution
A surgery support system that includes an acquiring unit for acquiring surgery images, an analysis unit that applies these images to a trained model to generate risk analysis information, and an output unit that superimposes surgery support information on the images in real-time, predicting complication risks such as ruptured sutures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If metadata is added to surgery images only for editing videos after surgery, then the editing process is facilitated, but the utilization of surgery images is limited and real-time surgical support is not provided
Solution Approach 1:
The surgery image processing system is designed to perform multiple functions: it not only adds metadata for video editing but also performs real-time analysis to predict surgical complications. The same image input is used for both editing preparation and clinical decision support, making the system versatile and adaptable to different surgical needs.
2Ease of operation
If conventional metadata addition is used for surgery images, then video editing is facilitated, but information for predicting complication risks is not provided
Solution Approach 1:
The system performs preliminary analysis of surgery images during the surgical procedure itself, predicting potential complications before they occur. By analyzing image features in real-time and comparing them against learned patterns from historical data, the system provides early warning signals that enable preventive surgical actions, thereby improving surgical safety.
3Loss of information
If surgery images are processed only after surgery for editing purposes, then post-surgery verification is enabled, but real-time surgical support is lost
Solution Approach 1:
The system maintains continuous processing of surgery images throughout the entire surgical procedure, not just after completion. The real-time analysis stream provides ongoing feedback and prediction capabilities while the surgery is in progress, ensuring that useful information is available when most needed for decision-making, while still preserving the complete surgical record for later verification.
Data Source
AI summary
A surgery support system according to the present disclosure includes an analysis unit that generates risk analysis information from a first surgery image acquired by an acquiring unit, by adopting the first surgery image to a trained model generated using learning data including a second surgery image that is a surgery image different from the first surgery image, the second surgery image having associated information on a complication risk due to surgery, and an output unit that outputs surgery support information that is based on the risk analysis information generated by the analysis unit, in a superimposed manner on the first surgery image.