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Creation of an artificial intelligence model for prediction of airway classification by convolutional neuronal network

Creation of an artificial intelligence model for prediction of airway classification by convolutional neuronal network

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200061797
Enrollment
Unknown
Registered
2022-07-02
Start date
2022-08-01
Completion date
Unknown
Last updated
2023-04-03

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

Conditions

difficulty airway

Interventions

Gold Standard:modified Cormack- Lehanes scale
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Sponsors

Zhongshan Hospital of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients undergoing endotracheal intubation for elective surgery; 2. Aged 18-80 years old; 3. Voluntarily participate in this clinical trial and sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Patients suspected with difficult mask ventilation and needed to retain spontaneous breathing or awake for endotracheal intubation after preoperative assessment; 2. Patients with endotracheal intubation in emergency situations; 3. Changes in facial appearance; 4. With emergency surgery; 5. Implants presented in the neck; 6. Patients with mental disorders, unable to execute instructions; 7. Pregnant women; 8. History of difficult mask ventilation or difficult endotracheal intubation; 9. High risk of aspiration.

Design outcomes

Primary

MeasureTime frame
modified Cormack- Lehanes scale;

Secondary

MeasureTime frame
incidence of difficulty intubation;times of attempts for intubation;incidence of failed intubation;

Countries

China

Contacts

Public ContactWanxia Xiong

Zhongshan Hospital of Fudan University

xiong.wanxia@zs-hospital.sh.cn+86 13402123516

Outcome results

None listed

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