LaApSi: The Future of Surgical Simulation
High-fidelity, cost-effective appendicectomy training tools for the next generation of surgeons.
Scroll to Discover ↓The LaApSi Model
The LaApSi (Laparoscopic Appendicectomy Simulation) model is a clinically validated, high-fidelity training tool designed to make surgical education accessible and affordable worldwide. Developed by clinical experts at Hull Institute of Learning and Simulation (HILS), this innovative model utilizes 3D-printed molds and specialized silicone to achieve over 90% anatomical realism compared to human tissue. By providing a 1:1 Scale representation of the appendix and caecum, it offers a safe, standardized environment for trainees to master the complexities of laparoscopic appendicectomy without the high costs typically associated with medical simulators.
What sets LaApSi apart is its integration with the Automated Progress Tracking System (APS), a low-cost digital interface that provides real-time performance feedback. This system tracks critical metrics such as operative time and procedural precision—including vessel excision and potential tissue injury—allowing for objective skill assessment and remote mentorship. With a production cost of under £5 for the entire unit, LaApSi is an ideal solution for both UK-based Core Surgery training and surgical programs in Lower-Middle-Income Countries (LMICs), effectively bridging the global gap in surgical safety and excellence.
RSCEng BSS
Integrated
LaApSi AI
The LaApSi-AI (Laparoscopic Appendicectomy Simulation - Artificial Intelligence) model represents the latest evolution in surgical training, specifically engineered to thrive in resource-limited and remote settings. Building on the success of previous versions, this model integrates advanced YOLOv5-based computer vision to automate progress tracking. By using AI to detect surgical instruments and anatomical structures—such as the appendix, vessels, and cecum—in real-time, the system eliminates the need for embedded electronics, significantly reducing production costs while maintaining an anatomical accuracy rate of over 90%.
Validated in some of the most remote medical environments in the world, including high-altitude settings in the Himalayas, LaApSi-AI is designed for maximum adaptability and ease of use. Over 83% of participants in clinical trials reported immediate skill improvement, and the system's user-friendly setup makes it ideal for rapid deployment in global health initiatives. This AI-driven approach not only provides objective, data-backed feedback to trainees but also enables high-quality surgical education to be delivered anywhere, regardless of local infrastructure or budget constraints.
LaApSi in Action
LaApSi in RSCEng
Anatomically accurate simulation for advanced training.
LaApSi in the Himalayas
Proving its versatility in some of the most remote medical environments in the world.
LaApsI in Dhulikhel
Validated in diverse clinical environments.