Overview

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.

Eligibility

Inclusion Criteria:

• Age ≥ 18 years.
• Radiologically confirmed pulmonary nodules requiring preoperative localization.
• Scheduled for robotic navigational bronchoscopy using the Bronchoscopy Robot System.
• Willing to provide written informed consent.

Exclusion Criteria:

• Severe cardiopulmonary dysfunction (e.g., FEV1 \< 30% predicted).
• Coagulopathy or anticoagulation therapy that cannot be safely interrupted.
• Pregnancy or lactation.
• Inability to tolerate bronchoscopy under general anesthesia.