Clinical Research Directory

AI-Driven Autonomous Registration in Robotic Bronchoscopy

This study aims to evaluate the feasibility and safety of an artificial intelligence (AI)-driven autonomous registration technology in robotic navigational bronchoscopy. A total of 20 patients with pulmonary nodules requiring localization will be enrolled. The Langhe Bronchoscopy Robot System equipped with AI-based autonomous registration software will be used. Primary outcomes include the success rate of autonomous registration and the rate of manual intervention during the process. Secondary outcomes encompass registration time, complication rates, and nodule localization success.

Optical Motion Capture-Assisted Ultrasound for Pediatric ESWL

The incidence of pediatric urinary system stones has shown an upward trend in recent years, and Extracorporeal Shock Wave Lithotripsy (ESWL) has become one of the most important minimally invasive treatments for pediatric upper urinary tract stones. Currently, the widely used clinical ultrasound mechanical coupling localization mode suffers from issues such as limited scanning degrees of freedom and difficulty in intuitively grasping the spatial relationship between the stone and the focal point. These issues lead to prolonged stone pre-localization times, significant reliance on operator experience, and a steep learning curve for young and primary care physicians, thereby restricting the standardization and widespread promotion of pediatric ESWL. Building upon existing ESWL equipment, this project independently constructs an "Optical Motion Capture-Assisted Ultrasound Pre-localization System." By utilizing multi-camera infrared motion capture to acquire the 3D pose of the ultrasound probe and the shock wave source in real-time and establishing a unified spatial coordinate system, the system achieves automatic conversion and visual display of the stone's position from the ultrasound image to the shock wave focal point coordinates. This guides the operator to quickly complete focal point pre-localization after freely scanning for the stone. Results from preliminary phantom studies and initial clinical pilot experiments indicate that, while maintaining the routine ESWL workflow, this system can significantly shorten the first effective pre-localization time for pediatric stones from approximately 15 minutes to around 5 minutes, without a significant decrease in the stone clearance rate. This suggests the technology possesses good engineering feasibility and clinical application prospects. This study proposes to conduct a single-center, prospective, single-blind randomized controlled clinical trial. Pediatric patients with upper urinary tract stones eligible for ESWL will be randomly assigned 1:1 to an experimental group and a control group. The experimental group will use the Optical Motion Capture-Assisted Ultrasound Pre-localization System for stone pre-localization, while the control group will use the routine ultrasound mechanical coupling localization method. The \*\*primary outcome measure\*\* is the time to first effective stone pre-localization. \*\*Secondary outcomes\*\* include the stone clearance rate evaluated by imaging at 4 and 12 weeks post-operation, the total number of shock waves released and total energy, total procedure time, intraoperative and postoperative complication rates, sedation/anesthesia dosage, and family satisfaction. Additionally, the study will systematically evaluate the system's impact on physician learning curves and work intensity by analyzing the localization success rate of operators with different seniority levels, learning curves (the trend of localization time versus the number of cases), and subjective workload scores. The core scientific question this project aims to answer is: Under the premise of not compromising the therapeutic efficacy and safety of pediatric ESWL, can optical motion capture-assisted ultrasound pre-localization significantly improve stone localization efficiency, reduce operator workload, and shorten the learning curve for young physicians, thereby enhancing the standardization and accessibility of pediatric ESWL? The expected results will provide an evidence-based foundation for optimizing pediatric ESWL localization modes and formulating relevant technical standards and training programs. Furthermore, it will lay the clinical validation groundwork for future intelligent lithotripsy systems integrating functions such as intelligent identification and robotic arm automatic tracking.