Digital Twin for Robotic Surgery Error Prevention
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Solution Overview
Problem
Conventional surgical methods are insufficient in preventing errors and adverse events during robotic surgery due to communication breakdowns and lack of precise diagnostic tools, leading to complications such as hemorrhaging, anesthesia reactions, and infections.
Innovation Solution
A customizable virtual operating room system using extended-reality (XR) technology that creates a digital twin of a patient's anatomy for surgical simulation, allowing surgeons to practice and collaborate virtually, and a surgical robot network that receives medical images to perform robotic joint arthroscopic surgery with precision and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional communication-based methods are used to prevent surgical errors, then implementation is simple, but error prevention effectiveness is insufficient
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the patient's anatomy using medical imaging data. This virtual model allows surgeons to practice and plan procedures without risking actual patient safety, thereby improving error prevention while avoiding the complexity of fully automated robotic systems. The digital twin serves as a safe replica for rehearsal and diagnostic purposes.
Solution Approach 2:
The system enables surgeons to perform preliminary practice sessions and procedural planning in the virtual environment before actual surgery. By rehearsing procedures, identifying potential errors, and optimizing surgical approaches in advance within the digital twin, surgeons can prevent errors during the actual operation without requiring complex real-time intervention systems.
2Manufacturing precision
If robotic surgery is performed with high precision, then surgical accuracy is improved, but system complexity increases
Solution Approach 1:
The patent uses a digital twin as a virtual copy of the patient's anatomy to achieve surgical precision without requiring equally complex physical robotic systems. The virtual model provides accurate anatomical representation for planning and practice, allowing surgeons to achieve high precision through careful preparation and rehearsal rather than relying solely on complex robotic hardware.
Solution Approach 2:
The digital twin acts as an intermediary between the surgeon's planning and the actual robotic surgery. By using the virtual model for procedural planning, error identification, and skill rehearsal, the system mediates between simple control interfaces and the need for precise surgical outcomes, reducing the complexity burden on the physical robotic system.
3Reliability
If surgeons practice in virtual environment, then error risk is reduced, but time investment for training increases
Solution Approach 1:
The system allows surgeons to perform preliminary practice sessions in the virtual environment before actual surgery. By rehearsing procedures, identifying potential errors, and optimizing surgical approaches in advance within the digital twin, surgeons can prevent errors during the actual operation. This preliminary preparation reduces overall time investment compared to traditional extensive training programs.
Solution Approach 2:
The digital twin provides self-directed learning opportunities where surgeons can independently practice and refine skills at their own pace. The virtual environment allows autonomous rehearsal of specific procedural steps without requiring constant instructor supervision, thereby reducing the time investment needed for training while maintaining high surgical safety standards.
Data Source
AI summary
Methods, apparatuses, and systems for performing robotic surgery in an extended reality (XR) collaborative customizable virtual operating room are disclosed. The disclosed systems provide a virtual environment in which a surgical robot network receives medical images of a patient and creates a digital twin from a patient's medical images. The surgical robot network allows a first user to create a virtual environment to perform a surgical procedure, select workflow objects, and perform actions on the digital twin. The data of the workflow objects and actions in relation to the digital twin is stored. The first user invites a second user to join the virtual environment who may collaborate with the first user on the workflow objects and actions performed to adjust the workflow, workflow objects, and actions performed. The workflow, workflow objects, actions in relation to the digital twin are sent to a surgical robot.