AR Surgical Decision Support via Real-Time Deviation Feedback
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Solution Overview
Problem
Conventional augmented reality systems in surgery fail to provide active decision support, leading to potential mistakes by inexperienced surgeons due to lack of real-time guidance during actual operations, despite offering extensive data and simulations for learning.
Innovation Solution
A surgical decision support system utilizing a database with stored surgical plans, including organ models, operational processes, and physiological data, linked with a host that executes a training module, sensing module, and decision support module to compare optimal and current surgical operations, providing real-time support when deviations exceed a tolerable range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional augmented reality systems display extensive surgical data and images in real time, then information availability is improved, but surgeon cognitive load increases leading to distractions and potential errors
Solution Approach 1:
The system implements feedback by comparing the current surgical operation in real-time with the pre-planned optimal surgical operation, and providing guidance feedback when deviations are detected. This ensures information is provided only when necessary to correct course, rather than continuously overwhelming the surgeon with data.
Solution Approach 2:
The system allows experienced surgeons to create their own optimal surgical operation plans beforehand, which then serve as self-generated guidance references. The system serves the surgeon by automatically comparing actual progress against this self-created plan and providing targeted feedback, rather than requiring the surgeon to manually monitor and interpret extensive real-time data.
2Device complexity
If augmented reality provides passive information display without active decision support, then system complexity is reduced, but surgical decision-making quality deteriorates for inexperienced surgeons
Solution Approach 1:
The system requires preliminary action by having surgeons create their optimal surgical operation plans before the actual surgery. This pre-planning phase allows the system to prepare comparison criteria and guidance frameworks in advance, enabling active decision support during surgery without requiring complex real-time analysis capabilities.
3Loss of information
If extensive surgical data is provided in real time to inexperienced surgeons, then information completeness is improved, but surgical performance deteriorates due to pressure and distraction
Solution Approach 1:
The system provides selective feedback based on comparison between planned and actual operations, delivering information completeness only when deviations occur. This feedback mechanism maintains surgical performance by avoiding unnecessary information overload while ensuring critical information is available when needed for correction.
Data Source
AI summary
A surgical decision support system based on augmented reality (AR) and a method thereof are disclosed. In the surgical decision support system, a surgeon can create an optimal surgical operation before a surgical operation; during a surgical operation, the optimal surgical operation can be demonstrated through augmented reality, a current surgical operation is detected and compared with the optimal surgical operation, a difference message is displayed to provide a surgical decision support when a comparison difference exceeds a tolerable range. Therefore, the technical effect of improving operation efficiency and success rate can be achieved.