AI-driven autonomous registration for robotic bronchoscopy localization
Official title: Feasibility and Safety of Artificial Intelligence-Driven Autonomous Registration in Robotic Navigational Bronchoscopy
Run by Ruijin Hospital · NCT07368829 · Data updated 2026-11-12
This trial will test whether an AI system can automatically register and help guide robotic bronchoscopy for adults who need pulmonary nodule localization.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 20 (estimated) |
| Sponsor | Ruijin Hospital Academic / other |
| Locations | 1 site (Shanghai, Shanghai Municipality) |
| Status | Recruiting |
| Started | March 1, 2026 |
| Main results expected | June 30, 2026 |
| Study ends | June 30, 2026 |
| Registry record updated | April 13, 2026 |
| Trial ID | NCT07368829 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age ≥18) with radiologically confirmed pulmonary nodules scheduled for preoperative robotic navigational bronchoscopy at the participating center who can provide informed consent.
✕Probably not a fit
Patients with severe cardiopulmonary dysfunction, uncorrectable coagulopathy or anticoagulation that cannot be safely stopped, pregnancy, lactation, or inability to tolerate general anesthesia are ineligible and unlikely to benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This single-center interventional feasibility study will enroll 20 adult patients with radiologically confirmed pulmonary nodules requiring preoperative localization. Procedures will use the Langhe Bronchoscopy Robot System equipped with AI-based autonomous registration software to attempt automatic registration during robotic navigational bronchoscopy. Primary outcomes are the success rate of autonomous registration and the frequency of required manual intervention; secondary outcomes include registration time, complication rates, and nodule localization success. Safety and feasibility data will be collected perioperatively to characterize performance and any adverse events.
Why it matters
Potential benefit: If successful, the AI registration could reduce procedure time and manual adjustments, making nodule localization faster and potentially safer.
How similar studies have gone: Early pilot studies of AI-assisted navigation in bronchoscopy have reported promising feasibility but larger or randomized validation studies are limited.
Who can join: the full rules
Show full inclusion / exclusion 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.
Where it's running
-
Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, China Recruiting
Study contacts
- Study coordinator: Hecheng Li, M.D., Ph.D.
- Email: lihecheng2000@hotmail.com
- Phone: +021 64370045
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.