LeSurgeon
Project Overview
LeSurgeon represents an advanced surgical robotics system that integrates cutting-edge computer vision with robotic manipulation for enhanced surgical capabilities. The system combines ZED stereo cameras for superior depth perception with intelligent surgical workflow understanding.
This project bridges the gap between surgical video understanding research and practical robotic applications, incorporating real-time surgical phase recognition and instrument tracking for assisted surgical procedures.
System Components
Complete LeSurgeon system architecture with integrated components
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ZED stereo cameras providing enhanced depth perception for surgical applications
Technical Specifications
Vision System
- ZED Stereo Cameras: High-resolution depth perception with millimeter accuracy
- Real-time Processing: 30fps video analysis with low-latency response
- Surgical Scene Understanding: Instrument detection and tracking capabilities
- 3D Spatial Mapping: Precise surgical site reconstruction and navigation
Robotic Integration
- Precision Manipulation: Sub-millimeter accuracy for delicate procedures
- Force Feedback: Haptic sensing for safe tissue interaction
- Multi-DOF Control: Advanced articulation for complex maneuvers
- Safety Systems: Emergency stops and collision avoidance
AI-Powered Features
- Surgical Phase Recognition: Automatic identification of procedure stages
- Instrument Classification: Real-time surgical tool recognition
- Workflow Prediction: Anticipating next surgical steps
- Anomaly Detection: Safety monitoring and alert systems
Clinical Applications
Minimally Invasive Surgery
Enhanced laparoscopic procedures with improved visualization and precision manipulation, reducing patient trauma and recovery time.
Surgical Training
Advanced simulation and training capabilities with real-time feedback on surgical techniques and decision-making processes.
Procedure Documentation
Automatic surgical workflow recording and analysis for quality improvement and educational purposes.
Research Integration
Surgical Video Understanding
Incorporates advanced computer vision techniques from surgical video analysis research, including long-term temporal modeling and multi-modal understanding.
Workflow Anticipation
Leverages surgical workflow prediction models to anticipate procedural steps and optimize robotic assistance timing.
Multi-Modal Learning
Combines visual, tactile, and temporal information for comprehensive surgical scene understanding and intelligent assistance.
Clinical Impact
Enhanced Precision
- Reduced human error through AI-assisted guidance
- Improved surgical outcomes with real-time monitoring
- Consistent performance across different skill levels
Surgical Efficiency
- Reduced procedure times through intelligent assistance
- Optimized instrument usage and workflow
- Minimized complications through predictive monitoring
Training & Education
- Accelerated learning curves for surgical residents
- Objective performance assessment and feedback
- Standardized training protocols and evaluation