AI-Driven Autonomous Registration in Robotic Bronchoscopy
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-driven autonomous registration.
- Who it may be relevant to
- Registry conditions: Lung Nodules, Bronchoscopy, Localization Efficiency. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Feasibility and Safety of Artificial Intelligence-Driven Autonomous Registration in Robotic Navigational Bronchoscopy
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.
Interventions
- Device AI-driven autonomous registration
All participants in this arm will undergo robotic navigational bronchoscopy and pulmonary nodule localization performed using the Langhe Bronchoscopy Robot System. The key intervention is the use of artificial intelligence (AI)-driven autonomous registration technology to automatically align the pre-operative chest CT images with the real-time bronchoscopic anatomy prior to the procedure. This process aims to reduce reliance on the conventional, operator-dependent manual registration. Physicians
Primary outcome measures
- Autonomous registration success rate [Time frame: Intraoperative]
- Manual intervention rate during autonomous registration [Time frame: Intraoperative]
Secondary outcome measures (3)
- Time consumed for autonomous registration [Time frame: Intraoperative]
- Complication rate during autonomous registration [Time frame: Immediate post-procedure to 24 hours]
- Localization success rate of pulmonary nodules [Time frame: Intraoperative]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Device feasibility
Study locations
China · 1 center
- Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine — Shanghai
Identifiers
NCT: NCT07368829 · RTS-030