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

Chinese Medical Association

Status: Not yet enrolling

Conditions: Respiratory Failure (Pediatric Patients); Pneumonia

Treatments: Device: Embodied-Intelligence-Assisted Bronchoscopy Navigation and Diagnostic System (EIBRONCH); Other: Conventional Bronchoscopy (Standard of Care)

Study type: Interventional

Funder types: Other; NETWORK; Industry

Identifiers

NCT07230431

2025-09-01

Details and patient eligibility

About

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.

Full 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.

Enrollment: 100 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

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).

Trial design

Primary purpose: Diagnostic

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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100 participants in 2 patient groups

AI-Assisted Bronchoscopy

Experimental group

Description:

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

Treatment:

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

Conventional Bronchoscopy

Active Comparator group

Description:

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

Treatment:

Other: Conventional Bronchoscopy (Standard of Care)