The Assessment of the Feasibility and Operational Performance of Automated System Bronchoscopy in a Simulated Environment
NCT ID: NCT06741267
Last Updated: 2024-12-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ENROLLING_BY_INVITATION
NA
30 participants
INTERVENTIONAL
2024-01-01
2024-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
DEVICE_FEASIBILITY
NONE
Study Groups
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RBS group
physicians control robotic bronchoscopy system(RBS)
RBS
physicians control RBS
AB group
physicians control automatic bronchoscopy(AB)
AB
physician control automatic bronchoscopy
ENB groups
physicians control electromagnetic navigation bronchoscopy(ENB)
ENB
physicians control electromagnetic bronchoscopy
Interventions
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RBS
physicians control RBS
AB
physician control automatic bronchoscopy
ENB
physicians control electromagnetic bronchoscopy
Eligibility Criteria
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Inclusion Criteria
2. They were willing to undertake relevant training and complete the experiment persistently -
Exclusion Criteria
\-
ALL
No
Sponsors
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Guangzhou Medical University
OTHER
Responsible Party
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Li Shiyue
Professor
Locations
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The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510163
Guangzhou, Guangdong, Chad
Countries
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References
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Cold KM, Xie S, Nielsen AO, Clementsen PF, Konge L. Artificial Intelligence Improves Novices' Bronchoscopy Performance: A Randomized Controlled Trial in a Simulated Setting. Chest. 2024 Feb;165(2):405-413. doi: 10.1016/j.chest.2023.08.015. Epub 2023 Aug 23.
Other Identifiers
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automatic bronchoscopy
Identifier Type: -
Identifier Source: org_study_id