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Not yet recruitingNCT07230431EIBRONCHUpdated Nov 17, 2025

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

An interventional study of Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System (EIBRONCH) and Conventional Bronchoscopy (Standard of Care) in Respiratory Failure (Pediatric Patients) and Pneumonia, sponsored by Chinese Medical Association. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-11-17.

Sponsored by Chinese Medical Association · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study 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.

Read the detailed description

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.

02

Conditions studied

  • Respiratory Failure (Pediatric Patients)
  • Pneumonia

Keywords

  • Severe pneumonia
  • Bronchoscopy
  • Navigation system
  • Artificial intelligence
  • Computer-assisted
  • Diagnostic support
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  1. 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.
  2. Uncorrected coagulopathy likely to increase bleeding risk (e.g., platelets \<50×10\^9/L or INR >1.5) per site policy.
  3. Known pregnancy or breastfeeding if the investigator judges risk outweighs benefit according to site policy.
  4. Participation in another interventional drug/device study that could interfere with outcomes.
  5. Any condition that, in the investigator's judgment, makes participation unsuitable (e.g., emergent life-saving bronchoscopy without time for consent).
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Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
100 participants (estimated)

Study arms

  • Experimental
    AI-Assisted Bronchoscopy

    Bronchoscopy performed with the investigational embodied-intelligence assistance (EIBRONCH). The system provides real-time visual overlay and voice prompts to support segmental navigation and standardized endobronchial description. Physicians make all clinical decisions; sedation, monitoring, and post-procedure care follow site routine

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

  • Active comparator
    Conventional Bronchoscopy

    Standard-of-care bronchoscopy without investigational AI guidance. Indications, sedation, monitoring and post-procedure care follow site routine

    Other: Conventional Bronchoscopy (Standard of Care)

Interventions

  • DeviceEmbodied-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

  • OtherConventional Bronchoscopy (Standard of Care)

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

05

What researchers measure

Primary outcomes

  1. Diagnostic agreement versus central adjudication

    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

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

Secondary outcomes

  1. Navigation success rate

    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.

    Time frame: During the bronchoscopy procedure

  2. Procedure time to target segment (minutes)

    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.

    Time frame: During the bronchoscopy procedure

06

Study locations

No study locations are listed for this record.

07

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07230431
Lead sponsor
Chinese Medical Association
Collaborators
Nanjing University, MICRO-TECH (Nanjing) Co., Ltd
Responsible party
Sponsor
First posted
Nov 17, 2025
Start date
Nov 2025 (estimated)
Primary completion
Nov 2026 (estimated)
Completion
Nov 2026 (estimated)
Last update
Nov 17, 2025

Study contacts

Ming Chen, MD
Contact
chenliuer2015@163.com
025-83106666

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is not yet recruiting, as verified in Oct 2025. You cannot join it, but the record below documents what was studied.

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