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AI-Assisted Bronchoscopy Navigation and Diagnostic System for Severe Pneumonia: A Multicenter Prospective Study
Sponsor: Chinese Medical Association
Summary
This study will evaluate an embodied-intelligence-assisted bronchoscopy navigation and diagnostic system for patients with severe pneumonia who require clinically indicated bronchoscopy. The system provides real-time visual cues and voice prompts to help physicians localize target lung segments and describe endobronchial findings; physicians remain fully responsible for all clinical decisions. The trial is designed as a prospective, multicenter, controlled study conducted at about ten hospitals in China, with an anticipated sample size of approximately 100 patients. The primary objective is to determine whether AI assistance improves diagnostic agreement compared with the reference assessment, while secondary objectives include navigation success (e.g., loss-of-path rate), procedure time, and complication rates. The results will provide evidence on the safety and effectiveness of AI-assisted bronchoscopy and support product validation and registration.
Official title: Development and Clinical Validation of an Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System: A Multicenter Prospective Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2025-11
Completion Date
2026-11
Last Updated
2025-11-17
Healthy Volunteers
No
Interventions
Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System (EIBRONCH)
Software/hardware system integrated with the bronchoscopic image chain. Uses pre-procedure planning and in-procedure computer vision to provide real-time visual cues and voice prompts for airway navigation and lesion characterization. Decision-support only; not implanted; used during the bronchoscopy procedure
Conventional Bronchoscopy (Standard of Care)
Bronchoscopy per site routine without investigational AI assistance; no additional device or drug