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

NCT ID: NCT07230431

Last Updated: 2025-11-17

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Clinical Phase: NA
• Total Enrollment: 100 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2025-11-30
• Study Completion Date: 2026-11-30

Brief 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.

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.

Conditions

Respiratory Failure (Pediatric Patients); Pneumonia

Study Design

• Allocation Method: NON_RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: DIAGNOSTIC
• Blinding Strategy: NONE

Study Groups

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

Group Type: EXPERIMENTAL

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

Intervention Type: 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 bronchoscopy without investigational AI guidance. Indications, sedation, monitoring and post-procedure care follow site routine

Group Type: ACTIVE_COMPARATOR

Conventional Bronchoscopy (Standard of Care)

Intervention Type: OTHER

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

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

Intervention Type: DEVICE

Conventional Bronchoscopy (Standard of Care)

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

Intervention Type: OTHER

Eligibility Criteria

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).

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Nanjing University

OTHER

Sponsor Role: collaborator

Micro-Tech (Nanjing) Co., Ltd.

INDUSTRY

Sponsor Role: collaborator

Chinese Medical Association

NETWORK

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Central Contacts

Ming Chen, MD

Role: CONTACT

chenliuer2015@163.com

025-83106666

Other Identifiers

2025-09-01

Identifier Type: -

Identifier Source: org_study_id