Skip to main content
OpenTrials
Not Yet Recruiting

NCT Number: NCT07230431

AI-Assisted Bronchoscopy Navigation and Diagnostic System for Severe Pneumonia: A Multicenter Prospective Study

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.

Not Yet Recruiting

Trial opening soon.

Get Notified

Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

About this study

Rationale: Severe pneumonia often requires bronchoscopy for diagnosis and therapy, yet accurate segmental localization and consistent interpretation are operator-dependent and time-consuming. Prior work by the sponsor team integrated CT-based planning with real-time bronchoscopic guidance and AI-based lesion characterization. The investigational system overlays guidance and voice prompts during bronchoscopy to standardize navigation and reduce errors.

Design: Prospective multicenter controlled study in ICUs/respiratory units. Approximately 100 adults undergoing clinically indicated bronchoscopy for severe pneumonia will be enrolled across ~10 centers in China. Procedures will be performed either with AI assistance or with standard bronchoscopy per site workflow. Outcomes include: (1) diagnostic agreement versus a predefined reference (primary); (2) navigation success/loss-of-path; (3) procedure time; and (4) adverse events (e.g., bleeding, hypoxemia, infection). Enrollment is planned to start in Sep 2025, with anticipated primary completion around Sep 2026.

Operations: Data will be collected using a standardized CRF and analyzed per a prespecified SAP. The investigational software is integrated with an endoscopic image processor developed with an industry partner; physicians can follow or ignore AI suggestions at their discretion. The study will generate evidence on effectiveness and safety to inform subsequent registration testing and scaling.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥18 years.
  • Severe pneumonia requiring clinically indicated bronchoscopy for diagnosis and/or therapy, as determined by the treating team.
  • Written informed consent from the patient or a legally authorized representative.
  • Expected to tolerate bronchoscopy with current respiratory support (e.g., HFNC/NIV/IMV) per site protocol

Exclusion criteria

  • Standard contraindications to bronchoscopy, such as uncontrolled hypoxemia despite support (SpO2 <90% for ≥30 s on FiO2 ≥0.60), hemodynamic instability requiring escalating vasopressors, or malignant arrhythmia not controlled.
  • Uncorrected coagulopathy likely to increase bleeding risk (e.g., platelets <50×10^9/L or INR >1.5) per site policy.
  • Known pregnancy or breastfeeding if the investigator judges risk outweighs benefit according to site policy.
  • Participation in another interventional drug/device study that could interfere with outcomes.
  • Any condition that, in the investigator's judgment, makes participation unsuitable (e.g., emergent life-saving bronchoscopy without time for consent).

Treatment and study plan

Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System (EIBRONCH)

Device

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)

Other

Bronchoscopy per site routine without investigational AI assistance; no additional device or drug

Primary outcomes

  1. Diagnostic agreement versus central adjudication

    Time frame: From index bronchoscopy to central adjudication within 7 days

    Participant-level proportion whose bronchoscopic diagnosis (target segment localization and lesion category) matches the reference standard defined by a blinded expert panel (≥2 senior bronchoscopists; disagreements resolved by a third reviewer) reviewing procedure images/videos and clinical data. Metric: percent agreement and Cohen's kappa with 95% CI; analysis unit: participant

Secondary outcomes

  1. Navigation success rate

    Time frame: During the bronchoscopy procedure

    Participant-level proportion of procedures that successfully reach the prespecified target bronchial segment without any loss-of-path event (>10 s) requiring external repositioning or restarts. Analysis unit: procedure.

  2. Procedure time to target segment (minutes)

    Time frame: During the bronchoscopy procedure

    Minutes from scope insertion to confirmation of the prespecified target segment (via endobronchial landmarks and site protocol). Reported as mean (SD) or median (IQR) and between-arm difference with 95% CI.

Study contacts

Contact information is provided by the study sponsor or research team.

Ming Chen, MD

CONTACT

[email protected]

025-83106666

Sponsors and collaborators

Lead sponsor

Chinese Medical Association

Network

Collaborators

  • MICRO-TECH (Nanjing) Co., Ltd
  • Nanjing University

Registry information

Official study title

Development and Clinical Validation of an Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System: A Multicenter Prospective Study

Acronym: EIBRONCH

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Nov 17, 2025
Registry last updated
Nov 17, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.