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Development and validation of an AI-assisted guidance system for emergency tracheal intubation based on a mobile terminal platform

Development and validation of an AI-assisted guidance system for emergency tracheal intubation based on a mobile terminal platform

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092499
Enrollment
Unknown
Registered
2024-11-18
Start date
2024-11-26
Completion date
Unknown
Last updated
2024-12-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

out-of-hospital cardiac arrest

Interventions

Case series:None

Sponsors

Army Medical Center of PLA
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1.Original image data of patients undergoing transoral endotracheal intubation in anesthesiology, ICU, ENT, respiratory, and endoscopic centers, as well as patients undergoing bronchoscopy airway examination; 2.The image dataset needs to include multiple key images such as epiglottis, glottic fissure, and arytenoid cartilage;

Exclusion criteria

Exclusion criteria: 1.The epiglottis, glottic fissure and arytenoid cartilage could not be exposed and identified at the same time under endoscopy; 2.The view was unclear and the practitioner could not make a judgment;

Design outcomes

Primary

MeasureTime frame
Number of correct airway identification;Operating time;

Secondary

MeasureTime frame
The first successful operations needed for endotracheal intubation;Image quality;

Countries

China

Contacts

Public ContactZhen Wang

Army Medical Center of PLA

yoyonet@163.com+86 13228687989

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026