AI-Driven Autonomous Registration in Robotic Bronchoscopy
Feasibility and Safety of Artificial Intelligence-Driven Autonomous Registration in Robotic Navigational Bronchoscopy
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Hecheng Li, M.D., Ph.D.
- Phone Number: +021 64370045
- Email: lihecheng2000@hotmail.com
Study Locations
-
-
Shanghai Municipality
-
Shanghai, Shanghai Municipality, China, 200025
- Recruiting
- Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
-
Contact:
- Hecheng Li
- Phone Number: +021 64370045
- Email: lihecheng2000@hotmail.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Autonomous registration group
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 will supervise the entire process and perform necessary manual intervention if the AI registration is unsatisfactory or for safety reasons.
|
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 will supervise the entire process and perform necessary manual intervention if the AI registration is unsatisfactory or for safety reasons.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Autonomous registration success rate
Time Frame: Intraoperative
|
Proportion of registrations completed independently by the AI algorithm without manual intervention.
|
Intraoperative
|
|
Manual intervention rate during autonomous registration
Time Frame: Intraoperative
|
The proportion of cases requiring manual adjustment by the physician during the registration process.
|
Intraoperative
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Time consumed for autonomous registration
Time Frame: Intraoperative
|
Intraoperative
|
|
|
Complication rate during autonomous registration
Time Frame: Immediate post-procedure to 24 hours
|
Complication rate during autonomous registration (e.g., bleeding, pneumothorax)
|
Immediate post-procedure to 24 hours
|
|
Localization success rate of pulmonary nodules
Time Frame: Intraoperative
|
The proportion of successful bronchoscope arrivals at the target nodule after registration.
|
Intraoperative
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- RTS-030
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.