Feasibility and Safety of Artificial Intelligence-Driven Autonomous Registration in Robotic Navigational Bronchoscopy

What this Trial Is About

Researchers are evaluating the feasibility and safety of an artificial intelligence (AI)-driven autonomous registration technology in robotic navigational bronchoscopy for patients with pulmonary nodules needing localization. The study will enroll 20 patients to assess how well this AI system aligns pre-operative chest CT images with real-time bronchoscopic anatomy, aiming to reduce the need for manual registration by physicians. The main goals include measuring the success of the AI registration and how often manual help is needed during the process. All participants will undergo robotic navigational bronchoscopy and nodule localization using the Langhe Bronchoscopy Robot System equipped with the AI-based autonomous registration software. Physicians will oversee the procedure and intervene manually if the AI registration does not meet safety or quality standards. This approach focuses on improving the registration process before the bronchoscopic procedure begins. Participants will be closely monitored during and after the procedure with assessments of registration success, time used for registration, any complications within 24 hours, and success in localizing nodules. The study involves collecting data during the operation and immediately afterward to evaluate the AI system's performance and safety. Total study participation includes the procedure and short-term follow-up to check for complications and outcomes.

AI-Driven Autonomous Registration in Robotic Bronchoscopy