Intelligent Surgery System Adaptive Suturing Control
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Solution Overview
Problem
Conventional surgical robots require skilled handling and do not effectively utilize data from surgeons' decisions during procedures, particularly in complex tasks like suturing.
Innovation Solution
An intelligent surgery system comprising a robot with integrated information collection devices and a suturing device, controlled by a computer system that collects and analyzes data to adaptively select suturing modes, thread types, and needle sizes based on real-time surgical site conditions, allowing for semi-automated or automated surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional surgical robots are used, then surgical procedures can be performed, but they require complicated and skillful handling by surgeons and do not effectively utilize surgical data
Solution Approach 1:
The surgical robot system performs data collection, analysis, and procedural adjustment automatically without requiring surgeon intervention. The system collects surgical data through integrated sensors, analyzes it using machine learning algorithms, and autonomously adjusts surgical parameters, enabling the system to serve itself and eliminating the need for skilled manual handling.
Solution Approach 2:
The system implements closed-loop feedback by continuously collecting surgical data through integrated sensors, analyzing the data in real-time, and using the analysis results to automatically adjust surgical parameters. This feedback mechanism enables adaptive surgical procedures that improve with each operation while reducing manual complexity.
2Manufacturing precision
If automated data analysis is implemented to select suturing modes and parameters, then surgical precision and efficiency improve, but system complexity increases
Solution Approach 1:
A single integrated computer system performs multiple functions including data collection from various sensors, machine learning-based data analysis, automated suturing parameter selection, and robot control. This multi-functional approach achieves high suturing precision while managing system complexity through consolidation rather than separate specialized components.
Solution Approach 2:
The computer system acts as an intermediary between raw surgical data and surgical execution. It collects data through integrated sensors, processes it using machine learning algorithms, and translates the analysis into automated control signals for the surgical robot, simplifying the overall system architecture through a centralized mediation layer.
Data Source
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AI summary
The present invention relates to an intelligent surgery system. According to one embodiment of the present invention, provided is an intelligent surgery system that comprises: a data-matching unit that receives, from an information-collecting apparatus, data on a part of the body of a patient that is to undergo surgery, and searches for control data matching the data on the part of the body to undergo surgery on the basis of a data-matching matrix; and a surgery control unit, which enables surgery tools or suturing devices to operate in accordance with the control data from the data-matching unit.