OverviewThis system is a comprehensive virtual bronchoscopy simulation training platform that integrates hardware, software and AI to create a realistic interventional environment by synchronizing high-precision models with real-time 3D data. It provides physicians with a progressive training pathway from basic skills to clinical proficiency. The simulator is delivered in a cart version with a movable trolley for easy relocation.
Features- Comprehensive training modules covering navigation, exploration and sequential bronchoscopy examination
- Support for core diagnostic and therapeutic techniques: mucosal biopsy, alveolar lavage, EBUS-TBNA
- Support for therapeutic procedures including foreign body removal, hemoptysis management and electrocautery using snare devices
- Diverse case database including infectious disease scenarios (e.g., COVID-19) and multiple common disease scenarios for practical training
- Integrated AI engine enabling automatic 3D lung reconstruction and lung nodule analysis to assist diagnosis and treatment planning
- Technical assessment system that records and quantifies operational data throughout training and delivers objective, customizable feedback
ApplicationsDesigned as a skills development and assessment tool for respiratory endoscopy centers, training departments and simulation labs for stepwise training from basic to advanced competence.
Technical specifications- Model: PLHXNJ102TC
- Form factor: Cart version with movable trolley for portability
- Integrated components: Hardware, software and AI engine
- Training coverage: Navigation, exploration, sequential exam, mucosal biopsy, alveolar lavage, EBUS-TBNA, foreign body removal, hemoptysis management, electrocautery with snare devices
- Case database: Diversified cases including infectious disease scenarios (example: COVID-19) and at least four common disease scenarios
- AI capabilities: 3D lung reconstruction and lung nodule analysis
- Evaluation: Recording and quantification of operational data with customizable objective assessment feedback